1 What does it cost, and how is the fee split?
| Component | Amount |
|---|---|
| Total fee | 207000 |
| Semester-wise | 56300 |
| Annual — Year 1 | 106880 |
| Annual — Year 2 | 106880 |
| Discount on annual payment | 0.05 |
| One-time payment | 207000 |
| Discount on one-time payment | 0.08 |
| Registration fee | No Registration Fee |
| Exam fee | Included in Program Fee |
| Project fee | Included in Program Fee |
2 How does Amity's fee compare?
At ₹2,07,000, this is the most expensive of the 7 Data Science specializations we list across 7 universities — ₹32,000 above the median of ₹1,75,000. The cheapest is Symbiosis SCDL at ₹76,000; the most expensive is this one. Fee is one input — check UGC-DEB status, credential and placement figures on each page before deciding.
| Same specialization elsewhere | Total fee |
|---|---|
| Symbiosis SCDL — Data Science PG Diploma · 2 years | ₹76,000 |
| LPU — Data Science MBA · 2 years | ₹1,46,240 |
| Shoolini — Data Science & Business Analytics MBA · 2 years | ₹1,58,000 |
| NMIMS — Operations & Data Sciences Management MBA · 2 years | ₹1,96,000 |
See all 7 Data Science specializations → · Cheapest online MBA in Data Science, ranked →
3 Who awards it — what does Amity publish about itself?
Profile
- Full name
- Amity University Online
- Location
- Noida, Uttar Pradesh
- Founded (online wing)
- 2021
Recognition
- UGC-DEB entitled
- Yes
- AICTE approved
- Yes
- NAAC grade
- A+ (QS Ranked)
- NIRF ranking (management)
- #48
- International recognition
- WASC-USA; QAA-UK; ACCA-UK; QS
Cost & funding
- Fee range
- 94,000 – 4,75,000
- EMI / loan available
- Yes (no-cost EMI)
- Scholarships
- Early-bird; Merit scholarships
- Scholarship categories
- Merit-Based, Defence Personnel, Divyaang (PwD), Sports Scholarship (CHAMPS), Alumni Scholarship, ISAT/AONSAT Scholarship Test, Full Fee Payment Discount, Annual Fee Payment Discount
Outcomes
- Average placement
- ₹4–7 LPA
- Highest placement
- ₹18 LPA
- Career services
- 450+ hiring partners, Placement assistance, Mentoring
- Career progression after the degree
- Good
- Most-taken specialization
- MBA – Marketing & Finance
Degrees & teaching
- Online specializations offered
- 50+
- Degrees offered
- UG / PG / PG Diploma / Certificate
- Learning platform
- AI-powered immersive LMS; Live sessions
- Faculty qualification
- Min: PhD preferred for all full-time faculty; PG 55%+UGC-NET for entry level. Avg: ~65–70% PhD holders; 8–12 yrs combined exp. International faculty from USA, UK, Singapore; mix of academics + practitioners.
- PhD-eligible after master's
- Yes
Admissions & support
- Admission sessions
- January & July
- Entrance exam required
- No (merit-based)
- Campus connect
- Yes
- Post-enrolment support
- Excellent
- Alumni feedback on the learning experience
- Excellent
- Key strength
- Widest program range; School of AI; Study Abroad
- Unique selling point
- Highest scholarship variety and global exposure
4 Can you get a loan, a scholarship or campus access?
Evaluation: Assignments, Projects, Quizzes, Case Studies, Online Examinations
5 Who is eligible?
Graduation in any discipline with minimum 40% marks. (Below 40%: Admission test required) done-icon Proficiency in English required
6 Who teaches it?
1.Dr. Harshita Singh – Assistant Professor, Ph.D. in SHRM, 3+ Years Experience 2.Dr. Sakshi Babbar – Program Coordinator, Ph.D. in Machine Learning, 13+ Years Experience 3.Dr. Tanupreet Sabharwal – Associate Professor, 15+ Years Teaching & Research Experience 4.Dr. Coral Jasmine Barboza – Deputy Director, Ph.D. in General Management, 10+ Years Experience 5.Dr. Mona Chaudhary – Assistant Professor, MBA, 9+ Years Experience 6.Dr. Sunil Kumar – Associate Professor, Ph.D. in Management, 10+ Years Experience 7.Dr. Divya Bansal – Deputy Director, Ph.D. in Management, MBA in Marketing, 18+ Years Experience 8.Dr. Rashmi Saxena – Assistant Professor, Ph.D. in Management, 14+ Years Experience 9.Dr. Pragati Sahai – Assistant Professor, Ph.D. in Biotechnology, 17+ Years Experience
7 What will you study?
1. Managerial Economics 2. Statistics for Management 3. Professional Communication 4. Accounting for Managers
1. Legal Aspects of Business 2. Business Research Methods 3. Financial Management 4. Human Resource Management 5. Conflict Resolution and Management
1. Analytics for Decision Making 2. Data Engineering 3. Data Visualization and EDA 4. Introduction to Data Science 5. Minor Project 6. Professional Ethics 7. Strategic Management
1. Advance Deep Learning 2. Digital Marketing 3. Major Project 4. Management in Action – Social, Economic and Ethical Issues
4 semesters in total.
8 How do you register?
Select your program
Choose the program that suits your goals
Complete your application
Fill out your application with all the necessary information
Pay your program fees
Make your program payment securely & easily
Submit & register
Submit your application and complete your registration
Await Enrollment details
Wait for enrollment details & further guidance
9 Who hires from it? 33 listed partners
10 What careers does it lead to?
Data Analyst
ENTRY LEVEL
Junior Data Scientist
ENTRY LEVEL
Data Engineer
ENTRY LEVEL
Business Intelligence Analyst
ENTRY LEVEL
Research Assistant
ENTRY LEVEL
Data Scientist
MID LEVEL
Data Mining Specialist
MID LEVEL
Machine Learning Engineer
MID LEVEL
Database Administrator
MID LEVEL
Statistical Analyst
MID LEVEL
Senior Data Scientist
ADVANCED LEVEL
Data Science Manager
ADVANCED LEVEL
Chief Data Officer (CDO)
ADVANCED LEVEL
Data Science Consultant
ADVANCED LEVEL
11 Who should take this specialization?
Aspiring learners
Anyone interested in Master of Business Administration from a recognized university