Why Choose Us?
- Powered by SASTRA. Strengthened by SMFG.
- Industry-Integrated Learning.
- Real Education. Real Business. Real Skills.
- Future-Ready Curriculum.
- Career-Focused from Day One.
- Learn Online. Graduate with Confidence.
Programme Highlights
- UGC-recognized degrees – Earn a valid, government-recognized qualification from SASTRA University, fully online.
- Subsidized fee structure – Special discounted pricing exclusively for SMFG employees.
- Work-life balance – Advance your education without disrupting your job or daily work schedule.
- 100% flexible & online – Fully digital learning format designed to fit around your career commitments.
| Semester wise fees – Tuition fees | Total Upfront fees – Tuition fees* | |||
|---|---|---|---|---|
| Programmes | Retail Price | Special price - SMFG | Retail Price | Special price - SMFG |
| MBA | Rs. 70,000/- | Rs. 50,000/- | Rs. 1,80,000/- | Rs. 1,30,000/- |
| MCA | Rs. 60,000/- | Rs. 50,000/- | Rs. 1,60,000/- | Rs. 1,20,000/- |
| MSc. Data Science | Rs. 60,000/- | Rs. 50,000/- | Rs. 1,60,000/- | Rs. 1,20,000/- |
*other fees including exam fees, arrear fees and convocation fees are applicable as per university norms.
Scheme of Study - MBA
Course Code
Course Description
Credits
Foundations of Management and Organizational behaviour
4
Economics of Decision Making
4
Accounting for managers
4
Business Research methods
4
Course Code
Course Description
Credits
Contemporary Marketing management
4
People Management
4
Financial Management
4
Operations & Supply Chain management
4
Master class I
2
Course Code
Course Description
Credits
Strategic Management
4
Business Analytics and Data visualization
4
Elective 1
4
Elective 2
4
Elective 3
4
Course Code
Course Description
Credits
Corporate laws and Governance
4
Elective 4
4
Elective 5
4
Elective 6
4
Master class II
2
Project work
8
Course Code
Course Description
Credits
Phygital Marketing
4
Services Marketing & Customer Relationship Management
4
Digital and Social Media Marketing
4
Sales and Distribution Management
4
Consumer Behaviour
4
Startup Marketing
4
Course Code
Course Description
Credits
Investment Analysis & Portfolio Management
4
Financial Markets & Mutual Funds
4
Project Management
4
Behavioural Finance
4
Managing Banks and Financial Institutions
4
Personal Finance & Wealth Management
4
Course Code
Course Description
Credits
Compensation Management
4
Human Capital Strategy and Performance Management
4
Learning and Development
4
Organizational Design and Development
4
Industrial Relations & Labour Laws
4
Digital Leadership
4
Course Code
Course Description
Credits
Digital and Social Media Marketing
4
Project Management
4
Learning & Development
4
Services Marketing & Customer Relationship Management
4
Personal Finance and Wealth Management
4
Digital Leadership
4
Course Code
Course Description
Credits
Customer Relationship management
4
Liabilities Management
4
Credit Underwriting (Retail/ SME/Corporate)
4
Financial Modelling and Risk Management
4
Investment Banking and Forex Management
4
Banking & Technology (Digital Transformation)
4
Scheme of Study - MCA
Course Code
Course Description
Credits
Statistical Methods
4
Data Structures (Semi Theory & Semi Practical)
4
Problem Solving & Programming in C
4
Database Management Systems
4
Soft skills-I
1
Course Code
Course Description
Credits
Design & Analysis of Algorithms (Semi Theory & Semi Practical)
4
Operating System Concepts & Principles (Semi Theory & Semi Practical)
4
Java ProgrammingC
4
Computer Networks (Semi Theory & Semi Practical)
4
Soft skills-II
1
Course Code
Course Description
Credits
Software Engineering(Semi Theory & Semi Practical)
4
Python Programming with Web Frameworks
4
Web Technology (Semi Theory & Semi Practical)
4
Stream paper I
4
Stream paper II
4
Course Code
Course Description
Credits
Natural Language Processing
4
Cloud Computing
4
Stream paper III
4
Stream paper IV
4
Project work
10
Course Code
Course Description
Credits
Low Code Programming with Oracle
4
Software Design & Testing
4
Design Thinking
4
Full Stack Web Application Development
4
Course Code
Course Description
Credits
Fundamentals of AI & Data science
4
Machine Learning Techniques
4
Predictive Analytics & Data Visualization
4
Data Analytics for Health Care Applications
4
Course Code
Course Description
Credits
Cryptography & Network Security
4
Cyber Security & Ethical Hacking
4
Machine Learning for Cyber Security
4
Enterprise Block Chain Framework
4
Scheme of Study - M.Sc Data Science
Course Code
Course Description
Credits
Probability & Statistics using R
4
Mathematics for Data Science
4
Python for Data Science
4
Artificial Intelligence & Reasoning
4
Applied Multivariate Analysis
4
Course Code
Course Description
Credits
Machine Learning
4
Big Data Mining & Analytics
4
RDBMS, SQL & Visualization
4
Data Mining Techniques
4
RDBMS, SQL, Visualization & Analytics Laboratory
2
Research Methodology & IPR
2
Course Code
Course Description
Credits
Deep Learning & Applications
4
Predictive Analytics Regression & Classification
4
Ethics & Data Security
4
Elective I
4
Elective II
4
Course Code
Course Description
Credits
Machine Vision
4
Elective III
4
Elective IV
4
Project work
8
Course Code
Course Description
Credits
Algorithmic trading
4
Bayesian data analysis
4
Financial data analysis
4
Healthcare data analytics
4
Data science for structural biology
4
Epidemiological Modelling
4
Social Networks & Graph Analysis
4
Spatial Data Analytics
4
Information Visualization
4
Image processing & Analysis
4
Speech & Video processing
4
Information Retrieval & Natural Language Processing
4
Energy Systems Modelling & Analysis for Data Science
4
Our Learning Methodology
- Pre-recorded videos in which experts deliver lecture or presentation on designated topics.
- Pre recorded videos for core courses will be delivered by SASTRA Faculty and for the banking courses, it will be delivered by Industry experts
- Videos will be uploaded monthly, with one module released each month. There will be a total of 3 modules, each consisting of 4 chapters.
- Videos will remain accessible until the completion of the semester.
- Accessible at any time on all devices, including mobile phones, computers, and tablets.
- Asynchronous Mentoring
- E-books, Lecture Notes, PPT and Open-Source Materials.
- All materials will be made available from day 1 for the entire semester students can download.
- The contents will be a mix of all the above available for the students to use comprehensively.
- It can be accessed any time across devices.
- Synchronous Teaching & Learning
- Students are required to thoroughly study the content of the previous module before attending the live webinar session.
- Each webinar session can take place in either Slot 1 (5:15 PM to 7:15 PM) or Slot 2 (7:30 PM to 9:30 PM). Please refer to the program schedule posted on the website for session details.
- The sessions can happen on Fridays/Saturdays/Sundays or all the days of the weekend.
- These sessions will focus on clearing doubts related to the content of the current module.
- Masterclass sessions could be online or offline based on the SMFG’s decision.
- Each assessment will consist of multiple-choice, comprehensive, descriptive or any other format deemed fit or an assignment.
- There will be a total of 3 assessments conducted per course, starting from the 5th week of the program, and scheduled during the 5th, 9th, and 13th weeks. The CIA will be open on Monday at 12 am and closed on the following Sunday 12 midnight in the scheduled weeks for the students.
- The best two scores will be considered out of 3 for a weightage of 30 marks (internal).
- Final end semester comprehensive exam accounts for 70% of the score.
Terms and Conditions
- This programme is a collaborative initiative between SMFG India Credit and SASTRA Online, offered exclusively to eligible full-time employees of SMFG.
- Enrollment under the special pricing is contingent upon continued full-time employment with SMFG. By enrolling, you confirm that you are a full-time employee of SMFG at the time of registration.
- Enrollment in the online UG/PG programmes offered by SASTRA Online is entirely voluntary and at the sole discretion of the eligible employee.
- All programme fees must be paid directly by the employee to SASTRA Online as per the applicable fee schedule; SMFG India Credit bears no financial liability or responsibility for such payments.
- The special programme fee covers only the tuition fee. Any applicable arrear examination fees, supplementary examination fees, or other charges as prescribed by SASTRA Online from time to time shall be borne separately by the student.
- Admission, academic performance, course completion, and adherence to eligibility/documentation requirements are the sole responsibility of the enrolling employee, and SMFG India Credit does not guarantee admission or programme outcomes.
- All courses offered under this programme shall be governed by the applicable UGC Regulations, academic policies, and timelines prescribed by SASTRA Online.
- Participants are expected to adhere to the Code of Conduct, ethical standards, and all applicable policies of both SMFG and SASTRA Online throughout the duration of the programme. Any violation may result in appropriate action in accordance with the respective institutional policies.
- SMFG and SASTRA Online reserve the right to modify, suspend, or discontinue the programme or its benefits in accordance with institutional requirements, applicable regulations, or mutual agreement.
- SMFG India Credit is not a party to and shall have no liability for any disputes relating to enrollment, fees, academics, or programme delivery; such matters shall be resolved solely between the employee and SASTRA Online.