M.B.A. (Data Sciences and Data Analytics)
M.B.A. (Data Sciences and Data Analytics)
Programme Objective
M.B.A. in Data Science and Data Analytics aims at developing Management professionals for Data Sciences and Data Analytics stream. Students will gain analytics competencies and use hands on tools in data sciences thereby preparing them for business and techno-functional roles in data sciences and analytics projects.
Duration
Full Time Two Year residential programme
Intake
Total Seats: 60
Reservation SC: 15%, ST : 7.5%, Person with Disability (PwD)-Refer-link : 3%
Over and Above Total Intake 2 seats for children of migrants from Jammu and Kashmir valley
20% seats for International Students
Eligibility
- Graduate from any recognised University/ Institution of National Importance with a minimum of 50% marks or equivalent grade (45% marks or equivalent grade for Scheduled Caste / Scheduled Tribes).
- KM – Attested copy of Migration cert. duly signed by Relief Commissioner / Competent Authority.
- PwD – Candidate claiming reservation under this category shall submit the certificate from Competent Authority which should clearly state that the extent of the disability is not less than 40 % & disability is permanent in nature.
Total Credits
100
Programme Pattern
Semester Pattern - 4 semesters with industry internship after the first year.
Focus
- To offer a unique combination of strategic actionable insights and real-time operational intelligence which are crux of Data Sciences and Data Analytics respectively.
- To address and fulfil the long felt need for analytical skills from an end to end information value chain perspective.
- To enable the candidates gain analytics competencies and hands on with the tools used in data sciences thereby preparing them for business and techno-functional roles in data sciences and analytics projects.
- To enable students to approach data using scientific methods.
Contact No - 020-22944140/130
E-mail - admission@scit.edu
M.B.A. (Data Sciences and Data Analytics) Program Structure
Programme Objective
- Master of Business Administration (Data Sciences and Data Analytics) aims at developing Management professionals for Data Sciences and Data Analytics stream. The program will enable students to approach data using scientific methods. This program will develop the ability to think about the real problems that need to be solved, not to simply find technical solutions. Students will learn the theory behind the tools, which in turn will make you a more versatile data scientist.
- Data Sciences and Data Analytics will enable the candidates gain analytics competencies and hands on the tools used in data sciences thereby preparing them for business and techno-functional roles in data sciences and analytics projects.
Programme Pattern:
Semester - 4
Total Credits
100
Duration (In months)
24 (Full Time)
Intake
60
01
Apply knowledge of management theories and practices to solve business problems
02
Foster Analytical and critical thinking abilities for data-based decision making.
03
Ability to develop Value-based Leadership skills
04
Ability to understand, analyze and communicate global, economic, legal and ethical aspects of business
05
Ability to lead themselves and others in the achievement of organizational goals, contributing effectively to a team environment.
06
Students will develop an aptitude for research and lifelong learning.
07
Students will apply Cognitive Thinking in designing AI-based solutions to support environmental, social, and governance (ESG)aligned decision-making.
08
Students will recognize the need for innovation and entrepreneurial skills in the context of next-generation technology leading toward national development.
01
Developed Adaptability to Technology Advancement and Changing Business Needs through Innovation.
02
Exhibited Influential and Ethical Leadership skills in Community Development
03
Developed Ability for Continuous Learning and Research to Sustain Individual and Organizational Goals
04
Imbibed Graduates with Innovative and Entrepreneurial Capabilities in line with National Policies
05
Developed Scalable and Resilient Problem-Solving Skills
06
Lead Organizations through Knowledge Discovery
Graduate Attributes
Semester 1
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T2778 | 0302420101 | Basics of Financial Management | 2 |
| T2216 | 0302420102 | Business Statistics | 2 |
| T2560 | 0302420103 | Principles and Practices of Management | 2 |
| T2225 | 0302420104 | Research Methodology | 2 |
| T3436 | 0302420105 | Domain Study(Manufacturing and Logistics) | 2 |
| T3637 | 0302420106 | Mathematics Foundation | 2 |
| T3822 | 0302420107 | Python Programming | 2 |
| T3821 | 0302420108 | Introduction to DBMS and SQL Programming | 2 |
| T3797 | 0302420109 | Data preparation and Data management | 2 |
| Total | 18 | ||
Generic Elective Course Group (Choose any three courses)
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T3826 | 0302420110 | AI Powered Developer Platforms and Tools | 3 |
| T3828 | 0302420111 | Cloud Computing | 3 |
| T3795 | 0302420112 | Machine learning | 3 |
| T3448 | 0302420113 | Text Analytics | 3 |
| Total | 9 | ||
Semester 2
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T3450 | 0302420201 | Advance data organization | 2 |
| T2114 | 0302420202 | Essentials of Marketing Management | 2 |
| T2253 | 0302420203 | Strategic Management | 2 |
| T6075 | 0302420204 | Managerial Economics | |
| T3437 | 0302420205 | Domain Study(BFSI) | 2 |
| T3718 | 0302420206 | Knowledge Graphs | 2 |
| T3824 | 0302420207 | Time Series Data, Analysis and Databases | 2 |
| T3819 | 0302420208 | Responsible and Explainable AI | 2 |
| T3799 | 0302420209 | Data Visualization and Storytelling | 2 |
| T3798 | 0302420210 | Operations Research and Optimization Techniques | 2 |
| TH4788 | Health and Wellness Module I | 0 | |
| Total | 20 | ||
Open Elective Course Group (Choose any three courses)
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T3562 | 0302420211 | Cognitive Computing | 3 |
| T3816 | 0302420212 | Deep learning | 3 |
| T3796 | 0302420213 | Natural Language Processing and Large Language Models | 3 |
| T3820 | 0302420214 | Financial Analytics | 3 |
| T3309 | 0302420215 | Big Data Analytics | 3 |
| T3454 | 0302420216 | Software analytics | 3 |
| T3559 | 0302420217 | Marketing Analytics | 3 |
| T3817 | 0302420218 | Recommender Systems | 3 |
| Total | 9 | ||
Semester 3
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T3908 | 0302420301 | Summer Internship | 8 |
| T3455 | 0302420302 | Data Protection and Privacy | 2 |
| T2658 | 0302420303 | Design Thinking | 2 |
| T2353 | 0302420304 | Entrepreneurship | 2 |
| T2572 | 0302420305 | Human Resource Management | 2 |
| T3435 | 0302420306 | Domain Study(Retail) | 2 |
| TH4789 | Health and Wellness Module II | 0 | |
| SMC003 | 0302420307 | Health and Wellness | 0 |
| Total | 18 | ||
Open Elective Courses Group (Choose any three courses)
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T3558 | 0302420308 | Reinforcement Learning | 3 |
| T3561 | 0302420309 | Human Computer Interaction | 3 |
| F0003 | 0302420310 | Flexi-Credit Course | 3 |
| T3716 | 0302420311 | Generative Adversarial Networks | 3 |
| T3800 | 0302420312 | Computer Vision | 3 |
| T3833 | 0302420313 | Social Media and Web Analytics | 3 |
| T3457 | 0302420314 | Fraud Detection Analytics | 3 |
| T3459 | 0302420315 | Insurance Analytics | 3 |
| T3460 | 0302420316 | Supply chain and operations analytics | 3 |
| F0003 | 0302420317 | Flexi-Credit Course | 3 |
| Total | 6 | ||
Semester 4
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T2236 | 0302420401 | Corporate Governance and Ethics | 2 |
| T2416 | 0302420402 | Sustainability Standards - Application, Analysis and Reporting | 2 |
| F0002 | 0302420403 | Flexi-Credit Course | 2 |
| T3702 | 0302420404 | Dissertation | 2 |
| SMC001 | 0302420405 | 0 | |
| Total | 21 | ||
Generic Elective Course Group (Choose any three courses)
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T3458 | 0302420406 | Healthcare analytics | 3 |
| T3464 | 0302420407 | HR Analytics | 3 |
| T3462 | 0302420408 | Cyber Security Analytics | 3 |
| T3461 | 0302420409 | IoT analytics | 3 |
| T3456 | 0302420410 | Customer analytics | 3 |
| T3463 | 0302420411 | Energy analytics | 3 |
| T3825 | 0302420412 | Designing Data Lake and Governance | 3 |
| T3818 | 0302420413 | Designing Data Lake and Governance | 3 |
| Total | 9 | ||
A.Y. M.B.A. 2026
Programme Objective
Master of Business Administration (Data Sciences and Data Analytics) aims at developing Management professionals for Data Sciences and Data Analytics stream. The program will enable students to approach data using scientific methods. This program will develop the ability to think about the real problems that need to be solved, not to simply find technical solutions. Students will learn the theory behind the tools, which in turn will make you a more versatile data scientist.
Data Sciences and Data Analytics will enable the candidates gain analytics competencies and hands on the tools used in data sciences thereby preparing them for business and techno-functional roles in data sciences and analytics projects.
Programme Pattern:
4 Semester
Duration (In months)
24 (Full Time)
Intake
60
01
Students will be able to apply relevant Data-driven Decision-Making Skills in a given business scenario.
02
Students will identify, analyze, design, and evaluate machine learning-based models to solve complex societal, business, and industry problems.
03
Students will be able to make socially and environmentally sustainable decisions and propose solutions having national/international standards.
04
Students will be able to demonstrate professional and personal Ethics.
05
Students will communicate effectively that includes comprehension, presentation, and reporting for business activities.
06
Students will communicate effectively that includes comprehension, presentation, and reporting for business activities.
07
Students will apply Cognitive Thinking in designing AI-based solutions.
08
Students will apply critical thinking to identify, analyze and formulate, business problems evaluate problems, and develop solutions.
09
Students will recognize the need for innovation and entrepreneurial skills in the context of next-generation technology leading toward national development.
01
Developed Adaptability to Technology Advancement and Changing Business Needs through Innovation.
02
Exhibited Influential and Ethical Leadership skills in Community Development
03
Developed Ability for Continuous Learning and Research to Sustain Individual and Organizational Goals
04
Imbibed Graduates with Innovative and Entrepreneurial Capabilities in line with National Policies
05
Developed Scalable and Resilient Problem-Solving Skills
06
Lead Organizations through Knowledge Discovery
Graduate Attributes
Semester 1
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T2778 | 0302420101 | Basics of Financial Management | 2 |
| T2216 | 0302420102 | Business Statistics | 2 |
| T2560 | 0302420103 | Principles and Practices of Management | 2 |
| T2225 | 0302420104 | Research Methodology | 2 |
| T3436 | 0302420105 | Domain Study(Manufacturing and Logistics) | 2 |
| T3637 | 0302420106 | Mathematics Foundation | 2 |
| T3822 | 0302420107 | Python Programming | 2 |
| T3821 | 0302420108 | Introduction to DBMS and SQL Programming | 2 |
| T3797 | 0302420109 | Data preparation and Data management | 2 |
| Total | 18 | ||
Open Elective Course Group (Choose any three courses)
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T3826 | 0302420110 | AI Powered Developer Platforms and Tools | 3 |
| T3828 | 0302420111 | Cloud Computing | 3 |
| T3795 | 0302420112 | Machine learning | 3 |
| T3448 | 0302420113 | Text Analytics | 3 |
| Total | 9 | ||
Semester 2
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T3450 | 0302420201 | Advance data organization | 2 |
| T2114 | 0302420202 | Essentials of Marketing Management | 2 |
| T2253 | 0302420203 | Strategic Management | 2 |
| T6075 | 0302420204 | Managerial Economics | 2 |
| T3437 | 0302420205 | Domain Study(BFSI) | 2 |
| T3718 | 0302420206 | Knowledge Graphs | 2 |
| T3824 | 0302420207 | Time Series Data, Analysis and Databases | 2 |
| T3819 | 0302420208 | Responsible and Explainable AI | 2 |
| T3799 | 0302420209 | Data Visualization and Storytelling | 2 |
| T3798 | 0302420210 | Operations Research and Optimization Techniques | 2 |
| TH4788 | Health and Wellness Module I # | 0 | |
| Total | 20 | ||
Open Elective Course Group (Choose any three courses)
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T3562 | 0302420211 | Cognitive Computing | 3 |
| T3816 | 0302420212 | Deep learning | 3 |
| T3796 | 0302420213 | Natural Language Processing and Large Language Models | 3 |
| T3820 | 0302420214 | Financial Analytics | 3 |
| T3309 | 0302420215 | Big Data Analytics | 3 |
| T3454 | 0302420216 | Software analytics | 3 |
| T3559 | 0302420217 | Marketing Analytics | 3 |
| T3817 | 0302420218 | Recommender Systems | 3 |
| Total | 9 | ||
Semester 3
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T3908 | 0302420301 | Summer Internship | 8 |
| T3455 | 0302420302 | Data Protection and Privacy | 2 |
| T2658 | 0302420303 | Design Thinking | 2 |
| T2353 | 0302420304 | Entrepreneurship | 2 |
| T2572 | 0302420305 | Human Resource Management | 2 |
| T3435 | 0302420306 | Domain Study(Retail) | 2 |
| TH4789 | Health and Wellness Module II # | 0 | |
| SMC003 | 0302420307 | Health and Wellness * | 0 |
| Total | 18 | ||
Open Elective Course Group (Choose any three courses)
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T3558 | 0302420308 | Reinforcement Learning | 3 |
| T3561 | 0302420309 | Human Computer Interaction | 3 |
| F0003 | 0302420310 | Flexi-Credit Course | 3 |
| T3716 | 0302420311 | Generative Adversarial Networks | 3 |
| T3800 | 0302420312 | Computer Vision | 3 |
| T3833 | 0302420313 | Social Media and Web Analytics | 3 |
| T3457 | 0302420314 | Fraud Detection Analytics | 3 |
| T3459 | 0302420315 | Insurance Analytics | 3 |
| T3460 | 0302420316 | Supply chain and operations analytics | 3 |
| F0003 | 0302420317 | Data Analytics | 3 |
| Total | 9 | ||
Semester 4
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T2236 | 0302420401 | Corporate Governance and Ethics | 2 |
| T2416 | 0302420402 | Sustainability Standards - Application, Analysis and Reporting | 2 |
| F0002 | 0302420403 | Flexi-Credit Course | 2 |
| T3702 | 0302420404 | Dissertation | 2 |
| SMC001 | 0302420405 | Vasudhaiva Kutumbakam * | 0 |
| Total | 8 | ||
Open Elective Course Group (Choose any three courses)
| CATALOG COURSE CODE | COURSE CODE | COURSE TITLE | CREDITS |
|---|---|---|---|
| T3458 | 0302420406 | Healthcare analytics | 3 |
| T3464 | 0302420407 | HR Analytics | 3 |
| T3462 | 0302420408 | Cyber Security Analytics | 3 |
| T3461 | 0302420409 | IoT analytics | 3 |
| T3456 | 0302420410 | Customer analytics | 3 |
| T3463 | 0302420411 | Energy analytics | 3 |
| T3825 | 0302420412 | Designing Data Lake and Governance | 3 |
| T3818 | 0302420413 | Machine Learning Operations(MLOps) | 3 |
| Total | 9 | ||
A.Y. M.B.A. 2025
Eligibility
- Graduate from any recognized University/ Institution of National Importance with a minimum of 50% marks or equivalent grade (45% marks or equivalent grade for Scheduled Caste / Scheduled Tribes).
- KM – Attested copy of Migration cert. duly signed by Relief Commissioner / Competent Authority.
- DA – Candidate claiming reservation under this category shall submit the certificate from Competent Authority which should clearly state that the extent of the disability is not less than 40 % & disability is permanent in nature.
Duration
Full Time Two Year residential programme
Intake
Total Seats: 60
Reservation
SC : 15% | ST : 7.5%
Person with Disability (PwD)-Refer-link: 3%
Dependant of Defence Personnel Category: 5%
Over and Above Total Intake
2 seats for children of migrants from Jammu and Kashmir valley
20% seats for International Students
Fee Structure - M.B.A.(Data Sciences and Data Analytics)
| Installments for Master of Business Administration (Indian Students) (2026–2028) | 1st Year (Amount in Rs) | 2nd Year (Amount in Rs) | ||
|---|---|---|---|---|
| 1st Installment | 2nd Installment | 3rd Installment | 4th Installment | |
| Academic Fees | 3,94,000 | 3,94,000 | 3,94,000 | 3,94,000 |
| Institute Deposit (Refundable) | 20,000 | - | - | - |
| Total Fees | 4,14,000 | 3,94,000 | 3,94,000 | 3,94,000 |
| Last Date for payment of Fees | At the time of Admission | 25-Nov-2026 | 25-Jun-2027 | 25-Nov-2027 |
* Hostel and Mess Fess can be increased up to 10% each year. Government taxes would be additional as and when applicable.
** Hostel and Mess fees for the subsequent year would be communicated before commencement of the next academic year.
| Installments for Master of Business Administration (Indian Students) (2025–2027) | 1st Year (Amount in Rs) | 2nd Year (Amount in Rs) | ||
|---|---|---|---|---|
| 1st Installment | 2nd Installment | 3rd Installment | 4th Installment | |
| Academic Fees | 3,75,000 | 3,75,000 | 3,75,000 | 3,75,000 |
| Institute Deposit (Refundable) | 20,000 | - | - | - |
| Hostel Deposit (Refundable) | 20,000 | - | - | - |
| Hostel Fees (Three Sharing)* | 1,02,300 | - | - | - |
| Mess Fees (Per Annum) | 52,000 | 52,000 | - | - |
| Total Fees | 5,69,300 | 4,27,000 | - | - |
| Last Date for payment of Fees | At the time of Admission | 25-Nov-2025 | 25-Jun-2026 | 25-Nov-2026 |
* Hostel and Mess Fess can be increased up to 10% each year. Government taxes would be additional as and when applicable.
** Hostel and Mess fees for the subsequent year would be communicated before commencement of the next academic year.
Payment
Fees are to be paid twice, at the time of Admission and November after the admission. The fees may be revised marginally for the next year according to costs & expenses involving inflation and additional academic and other facilities etc.
Mode of Payment
Any payment should be made through a crossed demand draft in favour of "Symbiosis Centre for Information Technology" and payable at Pune OR By Net banking using RTGS mode of payment :
Important Note
After making payment you have to update payment details before last date of payment in the SIU Finance Portal immediately. ( http://siufinance.ishinfo.com/StudentAdmission )
CASH PAYMENT IS NOT ACCEPTED
Admission Calendar
Rules for Refund of Fees
Admission Cancellation and Refund Rules
- Please note that your application for refund of fees will be considered after your payment towards first installment is authenticated by the institute and your provisional admission is confirmed.
- Click on Apply for Cancellation of Admission tab in the http://siufinance.ishinfo.com/StudentAdmission
- Ensure that Bank details are correctly entered and click on "Submit".
- On submitting the cancellation form, OTP will be sent to your registered Mobile number and Email Id. Provide the OTP in the corresponding OTP text and click on "Confirm" button. Once you click on "Confirm" button, your application of cancellation will be submitted to the Institute.
- In case of any change in the registered Mobile number or Email ID, please contact Institute before submitting the form. Please note that unless the OTP is submitted and confirmation is done, your application for cancellation will not be submitted.
- Fees will be refunded Online as per the bank details entered, within 15 days from the submission of your application.
- Amount of fees refunded will be as per Rules.
Scholarships
Symbiosis International (Deemed University) has various scholarship schemes to reward meritorious students.
Scholarship Policy
With the objective of encouraging meritorious students and academic excellence, Scholarships/ Awards are offered to deserving students of the University by the Symbiosis Society Foundation.
SSCANS
SSCANS awards merit scholarship under SIU policy for all our undergraduate programmes. The following are the details of the Scholarship for Academic Excellence at SSCANS.
The Scheme
Merit Scholarship for Semester / Annual Toppers - (Post Graduate & Under Graduate programmes)
Applicability and Commencement: This scholarship is applicable to:
- All UG / PG degree programmes which follow semester pattern.
- UG / PG degree programmes which follow annual pattern (except SMCW)
- A student can avail only one SIU scholarship per semester.
Awarded to:
- Four semester toppers in the order of merit of every batch of every degree programme (UG and PG) under SIU.
- Four toppers which follow annual pattern.
Nature of the scholarship:
First four toppers in the order of merit of every batch of every programme in every semester/ annually will be awarded the Merit Scholarship.
The Scholarship recipients are granted concession in Academic Fees of the semester, applicable to all full time Post Graduate and Under Graduate degree programmes of all the Constituents of SIU, as below:
- 1st topper gets 20%,
- 2nd topper gets 15%,
- 3rd topper gets 10%,
- 4th topper gets 5%
The scholarship amount will not be paid directly to the students. It will be transferred by the University directly to the Constituent, for the adjustment in academic fee of the following semester.
In case the student is a topper in the last semester of the programme, the scholarship amount will be transferred to the student’s bank account as per available records
SIU Scholarships details and other scholarships offered by SIU can be seen at - https://www.siu.edu.in/admissions/scholarship
Financials & Scholarships
How to Apply
Selection Process
The Selection process is carried out in two steps.
- Each student desirous of admission to SCIT must appear for Symbiosis National Aptitude (SNAP) Test 2025, which is a common written test for the admission to all Symbiosis postgraduate institutes.
- The applicant must register and pay online for ONLINE SNAP (Symbiosis National Aptitude Test) Examination, 2025. ONLINE SNAP 2025 test fee is INR 2250/- (+ applicable Payment gateway charges, GST and any other taxes). This is not refundable. For more details please visit: https://www.snaptest.org/
- While registering for SNAP, applicant has to also apply for SCIT in the same application form. A registration fee of Rs. 1000/- (+ applicable Payment Gateway Charges, GST and any other taxes) per programme is to be paid to SCIT for each programme that the aspirant wishes to apply. This is mandatory, without which the applicant will not be considered for short-listing for the GE (Group Exercise) PI (Personal Interview) process for the respective programme(s).
- Preserve the Admit Card of SNAP Test 2025 for further selection process at SCIT. Appearing for SNAP Test does not automatically qualify an applicant for the next step in selection process at SCIT.
- Short-listed Applicants based on SNAP scores will be called for the selection process at SCIT, Pune. Short listed candidates are announced on SCIT website www.scit.edu as per the scheduled dates. Shortlisted candidates must fill the Application Form and book the slot for GE-PI. Individual regret letters will not be sent to applicants who are not called for GE-PI. The entire process will be online.
- In all correspondence with SCIT, candidates must mention their SNAP ID, SCIT Application Number, eligible name, email id, contact telephone number (with STD code) if applicable and address with PIN Code.
- Applicants are advised to refer to our website for updated information. No separate communication will be sent.
- Authorised SNAP Admit Card must be produced for appearing in the selection process.
- Short-listed candidates for Step II (GE-PI) will be announced on SCIT web site www.scit.edu as per the schedule published
- Merit list will be published on the SCIT website www.scit.edu as per the schedule published
- All enquiries related to admission can be made to admission@scit.edu
Personal Interview score will also include Academic Consistency (marks at 10th, 12th & Graduation level each), Under Graduation degree, Experience and Extra Curricular Achievement.
International Students
Admissions of all International students are through Symbiosis Centre For International Education (SCIE).
SYMBIOSIS CENTRE FOR INTERNATIONAL EDUCATION (SCIE)
The Symbiosis Centre for International Education (SCIE) is a department of Symbiosis International University, providing leadership & support for the University's efforts to internationalize the campus and the curriculum.
At Symbiosis, not only are 75 countries represented in the student community, but there is also an emphasis on internationalizing the curricula. Students and faculty are repeatedly provided with opportunities to pursue their international academic interests to the fullest, be it through academic exchanges or exposure to international conferences, seminars, workshops, etc.
Internationalization at Symbiosis works on multiple tracks, hence, the two divisions in the Symbiosis Centre for International Education include:
- International Students Admissions, Events & Support Services
- International Initiatives & Collaborations
International Students Admissions, Events & Support Services
The International Students Admissions at Symbiosis Centre for International Education is designed taking into consideration the requirements and difficulties faced by International Students. The admissions are centralized for all the constituent institutes of Symbiosis International University and routed through Symbiosis Centre for International Education (SCIE). The online admission procedure has made it accessible to each and every student from different parts of the world and in the comfort of their homes.
To check if you are an international student, please refer to the categories listed.
Categories under International Students Admissions:
- Foreign National (FN) A student is eligible to apply as a Foreign National (FN) if he/she holds a foreign passport.
- Person of Indian Origin (PIO) A student is eligible to apply as a Person of Indian Origin (PIO) if he/she has a PIO card, and is a citizen of a country other than India.
- Non Resident Indian (NRI).
- At the Undergraduate Level: A student is eligible to apply as a Non Resident Indian (NRI) if he/she has appeared either for the 10 or 10+2 (equivalent to the Indian 10th & 12th) examination outside India.
* It is mandatory for the Student who fall in the NRI Category and have appeared for 12th in India to appear for the SET TEST.
- At the Postgraduate Level: A student is eligible to apply as a Non Resident Indian (NRI) if he/she has appeared either for the 10+2 examination (equivalent to the Indian 12th) or Graduation outside India. It is mandatory for one of the two qualifying examinations to be given outside India.
* It is mandatory for Postgraduate Students, who fall in the NRI Category and have appeared for their graduation in India, to appear for the SNAP TEST.
- At the Undergraduate Level: A student is eligible to apply as a Non Resident Indian (NRI) if he/she has appeared either for the 10 or 10+2 (equivalent to the Indian 10th & 12th) examination outside India.
If you fall into any of these categories and wish to apply to Symbiosis Institute, Kindly contact:
Symbiosis Centre for International Education
Symbiosis Society Senapati Bapat Road Pune 411 004 Maharashtra, India
Admission Confirmation Procedure
- Symbiosis Centre for Information Technology (SCIT) / Symbiosis International (Deemed University) (SIU) will announce the selection results for admission at Pune and also on institute’s website www.scit.edu as per the schedule in the admission calendar. Those who are offered admissions, must confirm their admission by paying the first instalment fees by the due date given, otherwise the seat will be made open for the next rank.
- At the time of joining SCIT, they must submit the following documents:
- Two stamp size colour photographs.
- Self-attested copies marks sheets/passing certificate of class 12th.
- Self-attested copies of certificate of passing of the qualifying examination and statement of marks from college/institution/university. Candidates whose results are not declared, they should submit a certificate from concerned college/institution/university of having appeared in the qualifying examination, whose results have not been declared till the date of admission. (The final marks sheets/pass certificate shall be submitted by such candidates on or before 31st September 2024, in order to eligible for admission in Symbiosis International (Deemed University).
- Requisite Caste/Category certificates issued by competent authority of respective state/central governments, in case students belongs to the category of Scheduled Castes (SC), Scheduled Tribes (ST), Differently Abled (DA), Jammu and Kashmir (J&K) Migrants or Dependents of Defence Personnel. (In case of Differently Abled candidates, the minimum disability should be 40%, in order to be eligible under this category).If the Caste / Category Certificate is in Vernacular language, English translated & notarized copy also be submitted.
- Self-attested copy of certificate for change of name or Gazette, if applicable.
- Candidates who have completed last qualifying examination from any University other than SIU they shall submit Original Migration Certificate in June. Those who have appeared for last semester of qualifying examination shall have to submit Original Migration certificate on or before December.
- Candidates who have completed last qualifying examination from any University other than SIU they shall submit Original Migration Certificate in June. Those who have appeared for last semester of qualifying examination shall have to submit Original Migration certificate on or before December.
- Equivalence certificate (in case, candidate completed qualifying examination from a Foreign University/Board) issued by Association of Indian Universities/ Statutory Councils (whichever is applicable).
- Self-attested experience certificate/gap certificate, if applicable
- Self-attested certificate of registration issued by respective council (e.g. Medical Council, Dental Council, Nursing Council etc.), if applicable
- Application for Provisional Admission.
- Medical Undertaking.
- Indemnification Undertaking by the Student.
- Indemnification Undertaking by the Parent.
- Anti-Ragging Affidavit by the Student.
- Anti-Ragging Affidavit by the Parent.
- Following documents as Photo Identity Proof:-
- Self-attested copy of Driving License/ Aadhar Card/ PAN Card/ Passport or any other such document as proof of Identity issued by the Government Authority.
- Duly Stamped / signed SNAP Admit card, GEPI Admit card
Secondary documents are available on the Finance Portal and duly signed, original documents should be submitted in the institute.
Candidate should complete Hostel Registration prior to the opening session.
Important
- It is the responsibility of the candidates to ascertain whether they possess the requisite qualifications for admission. Having been admitted provisionally, does not mean acceptance of eligibility.
- Final eligibility for admission will be decided by SIU.
- Care should be taken to write the address and Email ID correctly and legibly in all communications.
- All those who are admitted must attend the opening session. In case of the absence on the opening day or if a student does not attend the academic session after attending the opening session for two continuous weeks without prior permission of Director, SCIT, his/her admission will stand cancelled.
- In the event , SCIT will automatically assume that the candidate does not intend to be admitted to the relevant programme and SCIT is therefore free to admit the next student in the merit list in his/her place.
- Candidate should complete Hostel Registration prior to the opening session.
Guidelines & Rules
The Students’ Handbook will be provided by the institute to each student on joining SCIT which contains the detailed rules & regulations. However they are described here briefly.
Programme Structure
The programme structures printed in the SIU prospectus related to SCIT programme are subject to change to incorporate any updates.
Attendance
Students should ensure that the attendance in the academic sessions and non-academic sessions like seminars, guest lectures, holistic health sessions etc. is above 75%. The students not complying with these norms will be disallowed from taking examinations.
Examination Rules & Guidelines
-
SIDU Rules
All Exam Rules & guidelines announced by SIDU from time to time are applicable SCIT programmes. -
SIU Grading Policy
SCIT follows semester pattern with four semesters over a period of two years. The SIDU Grading Policy is applicable for evaluation at SCIT. It uses a system of grade points to judge the student’s overall performance on 4-point scale. The student is awarded letter grades A+, A, A-, B+, B, B-, C+, C, C-, D+, D, D- & F for each course depending on the relative performance of the student in the class. Cumulative Grade Point Average (CGPA) indicates the overall performance of the student in the M.B.A. programme. -
Standard of passing
At SCIT each course has internal & external evaluation components. External evaluation will be conducted by SIU through a semester-end exam. -
Standard of passing
A student has to pass both internal & external exam separately. A student must obtain a minimum of 2.0 CGPA to be eligible to get the degree. It is recommended that a student should not have backlogs as far as possible and maintain at least 2.0 CGPA in all semesters to avoid large academic load in subsequent semesters. Students are required to read thoroughly the eligibility & examinations rules on joining the course.
There is a common code of conduct for all students on the campus. The Students’ Handbook will contain the details.
Dress Code
On the campus all students are expected to dress decently.
- Girls
- Boys
- For Yoga/Workout etc.
- Dress/ Sarees
- Blue Blazers, Grey Trousers, White Shirt & Tie
- Track suits & ’T’ shirts
Hostel Rules in Brief
- Campus is fully residential. All students must stay on the campus. Mess will serve only vegetarian food. Cafeteria will have vegetarian snacks.
- Smoking, drinking, drugs etc. are prohibited. Possession of cigarettes and things like liquor, drugs etc. on the campus is strictly prohibited. Entry into the campus on consumption of liquor, drugs etc. is also strictly prohibited.
- Entry of girls into boys hostel and boys into girls hostel is prohibited.
- Campus gates will be closed at 10.30 p.m. All students have to attend the night roll call at the hostels at 10:30pm. Night-outs are not allowed. Lights-out period will be from 12.00 midnight to 5.30 a.m. for students to sleep.
- Automated vehicles -- two wheelers, three wheelers, or four wheelers are not allowed on the campus and should not be brought. This measure is to avoid wasteful expense on fuel, time wastages and to avoid pollution and promote healthy habits and more time for learning.
This discipline is towards the total development for a healthy and happy life in a hectic and pressure-filled IT career.
Fitness
It is important that no medical history especially psychosomatic is hidden from the institute. Candidates with epilepsy or depressive tendencies, which may aggravate due to academic and time pressures, are advised not to take admission. One is expected to be medically fit for Workouts, Yoga, Pranayam, Meditation and Mind Management Techniques.
Medical Insurance
Each student is insured by way of a unique, insurance policy under the Mediclaim & Road Traffic Accident Policy. A copy of the policy document is available with the Admin Officer For further details regarding the benefits of the policy, the student should contact Symbiosis Centre for Health Care. The centre thus provides preventive, promotional as well as curative health care services with a view to ensure Positive Health in all members of the Symbiosis Family.
Placement
Students are expected to participate in all sessions, workshops, seminars etc. in the first and second year. Those students who fulfill the eligibility criteria as laid down are permitted to participate in the Campus Recruitment Program. The Eligibility criteria for the First Year for summer internship as well as the Second Year for final placements are declared well in advance.
Discipline & Code of Conduct
We value self-discipline and do not believe in policing. We have a lot of trust and faith in students. We want students to live up to that trust and follow discipline, code of conduct, rules or instructions. Any behavior unbecoming of that will invite strict disciplinary action including heavy fines, debarring from tests/examination, etc. or termination of studentship if counseling and caution fails. Damage to equipment and fixtures anywhere on the campus will cost heavy fines besides a disciplinary action. Students are to abide by the Code of Conduct of Symbiosis International Deemed University (SIDU) a copy of which will be given at the time of joining SCIT. Students are advised to read the same fully. SCIT Disciplinary Committee's decision is final and binding on the student.
Student's admission will be cancelled if it is found that the admission is taken by resorting to the fraudulent means and illegal gratification for the admission.
Ragging in any form is banned on the campus. Anyone found indulging directly or indirectly in ragging will be punished appropriately, which may include expulsion from the institute.
Legal Jurisdiction
All disputes pertaining to application and admission to the institute shall fall within the jurisdiction of Pune (Maharashtra) only. All disputes will be settled & resolved by arbitration.
International Students Admissions, Events & Support Services
The International Students Admissions at Symbiosis Centre for International Education is designed taking into consideration the requirements and difficulties faced by International Students. The admissions are centralized for all the constituent institutes of Symbiosis International University and routed through Symbiosis Centre for International Education (SCIE). The online admission procedure has made it accessible to each and every student from different parts of the world and in the comfort of their homes.
To check if you are an international student, please refer to the categories listed.
Categories under International Students Admissions:
- Foreign National (FN) A student is eligible to apply as a Foreign National (FN) if he/she holds a foreign passport.
- Person of Indian Origin (PIO) A student is eligible to apply as a Person of Indian Origin (PIO) if he/she has a PIO card, and is a citizen of a country other than India.
Non Resident Indian (NRI):
-
At the Undergraduate Level:
A student is eligible to apply as a Non Resident Indian (NRI) if he/she has appeared either for the 10 or 10+2 (equivalent to the Indian 10th & 12th) examination outside India. * It is mandatory for the Student who fall in the NRI Category and have appeared for 12th in India to appear for the SET TEST.
-
At the Postgraduate Level:
A student is eligible to apply as a Non Resident Indian (NRI) if he/she has appeared either for the 10+2 examination (equivalent to the Indian 12th) or Graduation outside India. It is mandatory for one of the two qualifying examinations to be given outside India. * It is mandatory for Postgraduate Students, who fall in the NRI Category and have appeared for their graduation in India, to appear for the SNAP TEST.
-
If you fall into any of these categories and wish to apply to Symbiosis Institute, Kindly contact:
Symbiosis Centre for International Education
Symbiosis Society Senapati Bapat Road Pune 411 004 Maharashtra, India
M.B.A.(Data Sciences and Data Analytics) Merit List
The Fifth Merit list for M.B.A.(Data Sciences and Data Analytics) has been declared.
INSTRUCTIONS
The students who paid the fees for M.B.A.(ITBM) / M.B.A.(Data Sciences and Data Analytics) Programmes shall upload the following original scanned documents in the eligibility portal & fill in all the details correctly in the provided form: -
- Photograph of the student – file size should be less than 1MB
- Aadhar card (Both sides/full)
- Photo identity proof (PAN, Voter ID, Passport, Driving License or any other government issued document)
- SNAP Test Admit Card (Original – which is stamped at the testing Centre)
- SNAP Test Score Card
- GEPI Admit Card (Duly affixed photograph and signed by the student)
- Class 12 Marks List.
- All mark sheets of graduation - Semesterwise / yearwise in the respective tabs. If anyone had backlog of any semester has to upload backlog and backlog clear both the marksheets in one PDF.
- TC/LC (Original - those who have completed Graduation.)
- Migration Certificate / Having Applied for Migration Cert. (Original - those who have completed Graduation.)
- Gap (Gap/work experience covering the period from the date of completion of the graduation till joining the M.B.A. in SCIT)
- Provisional passing certificate
- Degree Certificate.
- Certificate of equivalence from the competent authority (if the student passed the graduation from any foreign university).
- Proof for change of name, if any
- Caste Certificate - (In case the certificate is in vernacular language, other than English, translate the same into English and get it notarized), upload both documents together in the portal. For students from Maharashtra, need to upload both Caste and Caste Validity Certificates together.
- Category Certificate:
- Kashmiri Migrants (KM) – Attested copy of Migration cert. duly signed by Relief Commissioner / Competent Authority.
- Person with Disability – Candidate claiming reservation under this category shall submit the certificate from Competent Authority which should clearly state that the extent of the disability is not less than 40 % & disability is permanent in nature.
- Defence Category certificate Format
- Anti-Ragging Affidavit (Student & Parent) – Register on the website www.antiragging.in and upload the confirmation email.
- Indemnification undertaking (Parent & Student) - should be printed on plain white paper.
- SIU Eligibility Form – (Print on Rs.500/- Non-Judicial Stamp Paper, signed & get it notarized before uploading)
- Medical Undertaking should be printed on plain white paper.
As per mandate from the Ministry of Education and University Grants Commission, it is essential for each student to register and generate her/ his own Academic Bank of Credits (ABC) ID. Please refer to the following to create your ABC ID:
1. Procedure to create ABC ID through DigiLocker
Frequently Asked Questions
In which format will SNAP score be declared?
−SNAP Score will be declared as a percentile to all candidates.
On what basis will the applicant be called for GE-PI?
+Applicants will be called for GE-PI purely based on SNAP percentile scores.
What is the pattern of the written test for admission?
+Written ability test will be based on current trends and latest news.
What is the format of the SNAP Test?
+The SNAP test is similar to any other postgraduate management entrance test. The test is of an objective type. For further details, please refer to www.snaptest.org
Whom do I contact for SNAP Test details?
+For more details on SNAP please contact Symbiosis Test Secretariat Phone: 020-28116226 / 27 Telefax: 020-28116228 Email: info@snaptest.org Web site: www.snaptest.org
How the final merit score is calculated for admission into M.B.A.(Data Sciences and Data Analytics) programme?
+Please refer Admission Procedure on Admission Guidelines tab on the link www.scit.edu/mba-in-data-sciences-and-data-analytics to find how final merit score for M.B.A. (Data Sciences and Data Analytics) is calculated.
Will SNAP be based only on Aptitude Test and General Knowledge?
+SNAP Question Paper will have questions pertaining to diverse areas like Commerce, IT, Media, Science, Management, Aptitude, General Knowledge etc. for exact details visit www.snaptest.org.
What was the SNAP 2018 cut off for SCIT?
+Many students aspire to get into SCIT and there are thousands of aspirants who apply to SCIT. So as to fulfill their dream and only a few selected get the opportunity to join SCIT to pursue M.B.A. (Data Sciences and Data Analytics) programme. In 2019, SNAP-2018 cut off scores for M.B.A. (Data Sciences and Data Analytics) is 46.5 percentile.
How do I get an admission in SCIT?
+You need to give SNAP test first and apply on-line to register for admission to SCIT. If you get the required cut off score, you would then be called for the GE-PI Process. Please refer to admissions pages of the website.
How many General seats are there for M.B.A.(Data Sciences and Data Analytics)?
+Out of 60 seats for M.B.A. (Data Sciences and Data Analytics) 44 seats are for general category.
Are there any reservation seats for students in SCIT?
+There are reservations for students at SCIT Reservation :SC : 15%, ST : 7.5%, Differently Abled : 3% Over and Above Total Intake children of migrants from Jammu and Kashmir valley, 15% seats for International Students.
Is the institute’s M.B.A. Programme recognized by UGC or by AICTE?
+SCIT is a constituent of Symbiosis International Deemed University established under section 3 of University Grants Commission Act, 1956 vide notification No. F.9- 12/2001-U.3 of the Government of India. and notification No. SIDU/28/131 dated 18th Dec 2006. The programmes offered by SCIT are therefore in compliance with UGC norms.
Is the institute NAAC accredited?
+Symbiosis International (Deemed University) of which SCIT is a Constituent has been awarded Grade ‘A Plus’ by NAAC in 2009 & in 2014 & ‘A Plus Plus’ by NAAC in 2022.
What are the eligibility criteria for the M.B.A.(Data Sciences and Data Analytics) programme?
+Graduates with minimum 50% marks from any recognized university are eligible to admission in SCIT's M.B.A.(Data Sciences and Data Analytics) programme. For more information on eligibility, please refer to eligibility details in admissions.
In M.B.A.(Data Sciences and Data Analytics) will there be general M.B.A. subjects or only domain specific subjects?
+M.B.A.(Data Sciences and Data Analytics) aims at preparing the students for business and techno-functional role therefore a blend of general and domain specific subjects is important. In M.B.A. (Data Sciences and Data Analytics) subjects like Financial Management, Essentials of Marketing Management, Principles and practices of Management, Managerial Economics, Strategic Human Resource management and Corporate Governance and Ethics are also included in the curriculum.
What is the difference between the SCIT’s M.B.A. programmes and MCA?
+- SCIT’s M.B.A. programs and MCA are different.
- SCIT M.B.A. in Information Technology Business Management (Information Technology Business Management) is a 2-year residential Post Graduate Degree Programme which aims at developing Management professionals for IT Businesses and its specialized streams. The programme builds Management skills and reinforces IT skills to create Leaders, Managers and Entrepreneurs in IT products & services domain. This programme will enable students to gain in depth knowledge of the niche areas of IT Businesses.
- SCIT M.B.A. in Data Sciences and Data Analytics (Data Sciences and Data Analytics) is also a 2-year residential Post Graduate Degree Programme which aims at developing Management Professionals with a combination of Business and Techno functional roles in Data Sciences and Analytics Projects. This programme builds Management Skills and reinforce with Techno-analytical skills in Data Management domain. This programme will enable students to gain in depth knowledge of niche areas in data sciences and data analytics.
- MCA is a 3-year Computer Applications course which is offered by some Universities.
- For further details on this, please contact us at: admission@scit.edu
What is the difference between the data science specialization and M.B.A. (Data Sciences and Data Analytics)
+M.B.A. (Information Technology Business Management) and M.B.A. (Data Sciences and Data Analytics) are both two year full time residential courses. SNAP test is a mandate to take admission for both the courses. In M.B.A. (ITBM) you get to choose your specialisations among any of the five choices i.e Information security management, systems, Software solutions management, IT infrastructure management, Data science. In Data Science elective we cover various subjects which include Multivariate Data Analysis, Data Management, Predictive analysis, data mining, social media analysis and a lot more, on higher level along with core management subjects. In M.B.A.(Data Sciences and Data Analytics) students will gain analytics competencies and use hands on tools in data sciences thereby preparing them for business and techno-functional roles in data sciences and analytics projects. Core Subjects covered will include Data preparation and Data management, Network Security, Data Mining, Programming for Data Sciences, Domain Study (Manufacturing & Logistics), Strategic Management, Predictive Analytics, Advance data organization, Operation Research, Advance Statistics and a lot more. The electives will include Big data Analytics, Marketing Analytics, Advance R programming and more, focusing on in-depth knowledge and understanding of Data Science.
Is it necessary to have a technical background to opt for M.B.A (Data Sciences and Data Analytics)?
+No, graduate from any faculty can opt for M.B.A.(Data Sciences and Data Analytics) as long as he has taken Mathematics in 12th Standard.
Do all students get hostel facilities?
+M.B.A. is a residential 2-year postgraduate programme. Students get to stay in Infotech Campus at Infotech Park, Phase-1, Hinjewadi, Pune, which houses a Swimming Pool, Cafeteria, Mess, Gymnasium, Health Centre, General Store and beautifully landscaped lawns. The SCIT campus provides a highly conducive and stimulating environment to all its students.
Is there any transport facility provided?
+Since this is a residential programme, care is taken to provide all amenities and facilities on campus. Besides this, there are shuttle services from the campus to the city at regular intervals that carry students to and fro from early morning till late in the night. PMPML buses are also there from Infosys circle to the city
Is there any specialization offered by SCIT in its M.B.A.(Data Sciences and Data Analytics) Programme?
+No. There is no separate specialization in M.B.A.(Data Sciences and Data Analytics) Students are offered with flexible electives in each semester pertaining to Data Sciences and Data Analytics in different Sectors. Students will get hands on experience in different tools like Python, Hadoop, R, Tableau, IBM Watson and many more as part of the curriculum.
Whether any certifications will be covered in M.B.A.(Data Sciences and Data Analytics) degree?
+No certification is conducted separately, but students will learn tools such as Python, Hadoop, R, Tableau, IBM Watson etc. and will get hands on experience and projects as part of M.B.A.(Data Sciences and Data Analytics) programme.
How can I select a specialization?
+Go through courses offered in an elective/specialization course category. On joining the programme, SCIT will provide more information on courses and counseling sessions would take place. If you already know your choice you could start taking courses in the elective category of your choice from the first semester itself.
What is a core course?
+A core course is a mandatory course for all irrespective of the specializations. You cannot choose from among them.
What is an elective course?
+You can choose from the available elective course options.
How many credits/courses can I take in a semester?
+Total number of credits required for M.B.A. is 100 credits. On an average 20 to 25 credits could be taken in one semester. Industry internship carries 10 credits which are mandatory.
What is a credit point?
+Credit points determine the importance of a course in the scheme of the overall degree programme depending on its importance, complexity and depth. Total number of credits for M.B.A. is 100. A credit point also defines the number of contact hours and the maximum number of marks assigned to a course. e.g. 1 credit course means 15 clock hours of contact sessions and 50 marks of evaluation. Similarly, 2 credits course means 30 clock hours of contact sessions and 100 marks of evaluation.
What is the fee structure ?
+Please see the details of the fee structure on the admission pages of the website,www.scit.edu
Will the jobs offered after M.B.A.(Data Sciences and Data Analytics) be in the IT domain only
+The jobs offered won’t be restricted to the IT domain, you will find opportunities in BFSI, Manufacturing, Retail and Healthcare sectors too.
What are the job prospects available after M.B.A.(Data Sciences and Data Analytics)?
+A variety of roles are offered for M.B.A. (Data Sciences and Data Analytics) students including Data scientist, Data Architect, DS Consultant, Big Data Analysis, Business Development, Business Analytics, Market Analyst, Social Network and Sentiment Analysis, Consumer Behavior Health Sciences, Behavioral Analytics, Business Process Analysis.
What are the career prospects of M.B.A.(Data Sciences and Data Analytics)
+Data analytics is being used not just in IT domains but other domains such as BFSI, Retail, Manufacturing and Healthcare. Due to increase in demand for skill data analysts and Data scientists many companies are looking for candidates trained in this field.
Does the institute provide placement and internships to students?
+SCIT's placement record so far has been Exemplary. Our First batch of M.B.A.(Data Sciences and Data Analytics) -2017-19 was placed 100%. Even during internship, our students have delivered well in revenue earning projects. Our recruiters include giants like VMware, Gartner, CITIUS Tech, Exponentia, American Express, Infosys, Gartner, SIPL and many more.
Whom do I contact for M.B.A.(Data Sciences and Data Analytics) Admission details?
+ Contact No. : 020 - 22944140 / 130
Mobile : 9822651756
E-mail : M.B.A.(Data Sciences and Data Analytics)-admission@scit.edu
Site : www.scit.edu/mba(DS-DA).php
Address : Symbiosis Centre for Information Technology (SCIT)
Plot 15, Phase-I,
Rajiv Gandhi InfoTech Park,
Hinjewadi,
Pune - 411057
Maharashtra
India.