MBA in Data Science: Course Fees, Eligibility, Admission, Syllabus, Top Colleges, Salary & Scope

Rashmi KaranManager - Content
The MBA in data science course is rapidly becoming a highly coveted specialization in management to leverage data effectively in a business context. As industries increasingly adopt technology and scientific methods for their operations, the ability to assess and manage data has become crucial. This professional program equips individuals with the skills to drive business innovations through data. Data science merges various disciplines, including Statistics, Mathematics, Information Science, Computer Science, Artificial Intelligence, and Machine Learning. This makes the MBA in Data Science particularly suitable for those with an Engineering or Technical background.
By 2025, it's projected that the world will generate 463 exabytes of data daily, highlighting the growing demand for skilled data science experts and managers. Key sectors offering career opportunities in Data Science include IT, e-commerce, Healthcare, Manufacturing, and BFSI (Banking, Financial Services, and Insurance). This article provides comprehensive details about the MBA in Data Science, including eligibility criteria, admission processes, course content, syllabus, top MBA in data science colleges, career prospects, potential salaries, and recruiters.
Also Read: Kick Start Your Career in Data Science without Coding Knowledge
What is Data Science?
Data science transforms vast amounts of data into actionable insights and informed predictions. It's the art of deciphering complex data sets to guide decision-making and forecast future trends.
Imagine data science as a form of investigative work. Data scientists gather, scrutinize, and interpret data to uncover answers to critical questions. Their analyses range from identifying consumer purchasing trends to detecting health-related patterns that could aid in disease prevention.
At its core, data science aims to mine data for valuable insights, enabling informed decisions based on predictive analysis. This rapidly evolving field is pivotal across various sectors.
Data science encompasses several key activities, including:
- Define the Problem
- Collect and Clean Data
- Explore and Visualize Data
- Model and Analyze Data
- Communicate Result
- Implement and Evaluate the Result
MBA in Data Science Highlights
Given below are the key highlights of the MBA in Data Science course:
Features |
MBA in Data Science Details |
---|---|
Degree Name |
MBA in Data Science |
Degree Type |
Postgraduate |
Course duration |
2 years |
Education modes |
Full-time, part-time, distance learning modes, and online MBA in data science |
MBA in data science eligibility criteria |
Bachelor’s degree in any stream |
Admission process |
Entrance exam + GD/PI |
Course fee |
INR 1 lakh to INR 15 lakh and above |
Average MBA in data science salary |
INR 8 Lakh Per Annum (LPA) |
Job profiles |
Risk Analyst, Business Analyst, Data Analyst, Data Scientist, Stock Analyst, Project Manager |
MBA in Data Science Eligibility Criteria
- The basic eligibility criteria to pursue an MBA in Data Science is graduation. However, since Data Science is all about data crunching, having an academic background in Mathematics, Statistics, Information Science, Computer Science, Artificial Intelligence and Machine Learning will be valuable.
- Some of the MBA programs in data science colleges have minimum score criteria of 50 percent aggregate in graduation.
MBA in Data Science Skill Set
Apart from academic eligibility, one must have a flair for Data Science, as it is a niche and a highly specialised field. Some of the skill sets one must possess for an MBA in Data Science are listed below:
- Strong base in Mathematics and Statistics
- Analytical thinking
- Critical thinking
- Interpretive skills
- Communication skills
- Problem-solving skills
- Team management
- Decisive
- Adaptive
- Eye for detail
MBA in Data Science Entrance Exams & Admission
The data science for MBA admission process includes an entrance exam, Group Discussion (GD) and Personal Interview (PI). Given below are some of the top national-level MBA entrance exams for MBA in Data Science:
Entrance Exams for MBA in Data Science |
|
---|---|
The admission process for an MBA in Data Science course is the same as the MBA General course. The institutes shortlist candidates for Group Discussion (GD) and Personal Interview (PI) based on an entrance exam score. Admission criteria include academic record (class 10, 12 & graduation), entrance exam score, GD/PI round performance, and work experience (not mandatory).
MBA in Data Science Syllabus
The MBA in Data Science syllabus includes general management subjects, business analytics and technical topics such as Machine Learning, Spreadsheet Modelling, Data Visualization, etc. Given below are the topics commonly included in the MBA in data science course:
Semester 1: Core Management and Data Science Fundamentals
Subject |
Topics |
Subtopics |
Management Concepts |
Business Functions, External Environment, SWOT Analysis |
|
Motivation, Leadership, Team Dynamics |
||
Strategic Management |
Corporate Strategy, Competitive Advantage, Strategy Formulation |
|
Mathematics for Data Science |
Linear Algebra |
Vectors, Matrices, Eigenvalues and Eigenvectors |
Probability & Statistics |
Probability Distributions, Hypothesis Testing, Statistical Inference |
|
Data Science Basics |
Introduction to Data Science |
Data Collection, Data Types, Data Wrangling |
Data Cleaning, Handling Missing Data, Data Transformation |
Semester 2: Data Analysis and Machine Learning
Subject |
Topics |
Subtopics |
Data Analysis Techniques |
Descriptive Statistics, Identifying Patterns |
|
Tools (Matplotlib, Seaborn, Tableau), Graphical Representations |
||
Machine Learning I |
Linear Regression, Logistic Regression, Decision Trees |
|
K-Means Clustering, Principal Component Analysis, Hierarchical Clustering |
||
Model Evaluation |
Cross-validation, Bias-Variance Tradeoff, Performance Metrics |
|
Business Analytics |
Predictive Analytics |
Forecasting, Time Series Analysis, Demand Forecasting |
Data-driven Decision Making |
KPIs, Data Interpretation, Decision Support Systems |
Semester 3: Advanced Data Science and Big Data
Subject |
Topics |
Subtopics |
Machine Learning II |
Advanced Supervised Learning |
SVM, Random Forest, Gradient Boosting, XGBoost |
ANN, CNN, RNN, Backpropagation |
||
Reinforcement Learning |
Q-Learning, Policy Gradients, Applications in Business |
|
Big Data Technologies |
HDFS, MapReduce, YARN, Pig, Hive |
|
Apache Spark |
Spark RDDs, DataFrames, Spark MLlib |
|
NoSQL Databases |
MongoDB, Cassandra, Data Modeling in NoSQL |
|
Advanced Business Analytics |
Prescriptive Analytics |
Optimization Models, Simulation Techniques |
BI Tools (Power BI, Tableau), Data Warehousing |
Semester 4: Data Science in Business and Emerging Trends
Subject |
Topics |
Subtopics |
Natural Language Processing |
Text Mining and Sentiment Analysis |
Tokenization, NLP Tools (NLTK, spaCy), Text Classification, Sentiment Analysis |
Speech Recognition |
Voice Data, Acoustic Models, Deep Learning for Speech Recognition |
|
AI and Data Science in Business |
AI for Business Solutions |
Chatbots, Personalization, Recommendation Systems |
Ethical AI and Data Science |
Bias in AI, Fairness in Machine Learning, Ethical Implications |
|
Data Science Capstone Project |
Project Development & Presentation |
Data Collection, Model Building, Final Report, Presentation to Stakeholders |
Electives (Optional) |
Blockchain and Data Science |
Blockchain Fundamentals, Smart Contracts, Cryptography |
Cloud Computing for Data Science |
AWS, Azure, Google Cloud, Cloud-based Data Solutions |
Top MBA in Data Science Colleges in India
Given below are some of the best colleges for MBA in data science programme along with the course fee:
MBA in Data Science Colleges |
MBA in Data Science Course Fee (INR) |
---|---|
4.50 lakh |
|
5.25 lakh |
|
12.20 lakh |
|
16.29 lakh |
|
24.00 lakh |
|
15.98 lakh |
|
2.75 lakh |
|
4.00 lakh |
|
1.20 lakh |
|
18.07 lakh |
MBA in Data Science Career Prospects: Jobs and Salary
Data Science jobs are highly responsible roles that require excellent analytical and data interpretation skills and knowledge of the latest technology and tools. Since it is a highly specialised job and critical to the good health of a business enterprise, the remuneration offered is also high, thus drawing professionals to take up an MBA in data science for working professionals. Given below are the Data Science job roles and average salaries:
MBA in Data Science Job Roles |
MBA in Data Science Average Salary (INR) |
---|---|
Data Science Manager |
21 LPA |
Data Architect |
19 LPA |
Product Manager |
17 LPA |
Data Science Consultant |
10 LPA |
Data Engineer |
8.38 LPA |
Product Analyst |
6.20 LPA |
Business Intelligence Analyst |
5.94 LPA |
Operations Research Analyst |
4.00 LPA |
Clinical Data Analyst |
3.50 LPA |
Check out data science interview questions to ace your next data science interview.
MBA in Data Science: Top Recruiters
The demand for MBA in data science graduates is high in sectors such as e-commerce, manufacturing, healthcare, banking and finance, transport and information technology. Some of the top recruiters are listed below:
Top MBA in Data Science Recruiters |
|
---|---|
1. Amazon |
2. IBM |
3. Deloitte |
4. Accenture |
5. Fractal Analytics |
6. Citrix |
7. LinkedIn |
8. Myntra |
9. MuSigma |
10. Dexlock |
11. Flipkart |
12. Rudder Analytics |
Check out data analytics interview questions to ace the interview round.
MBA in Data Science FAQs
Q: Which are the top B-Schools for MBA in Data Science?
Q: What is the eligibility criteria for MBA in Data Science?
Q: What is taught in MBA in Data Science?
Q: What are the job roles offered to MBA in data science graduates?
Q: Which companies hire MBA in Data Science degree holders?
Q: What is the admission process for MBA in Data Science?
Q: What is the average fees of MBA in Data Science course in India?
Q: I want to pursue MBA in Data Science. Do I need to clear an entrance exam for it?
Q: Does IIM offer MBA in Data Science?
Q: What is the course duration of MBA in Data Science?
Q: I have a BTech Computer Science degree, can I go for MBA in Data Science?
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Most Popular Courses
Popular MBA in Data Science UG Courses
UG Courses
- B.E. / B.Tech
1 College
Popular MBA in Data Science PG Courses
PG Courses
- MBA/PGDM
31 Colleges
- PG Diploma
1 College
Popular Exams
Important Exam Dates
Dates | Upcoming Exam Dates |
---|---|
13 Mar ' 25 - 01 Apr ' 25 | CUET PG 2025 Exam Date ONGOING |
13 Mar ' 25 - 09 Apr ' 25 | APICET 2025 Registration Process (Without late fee) ONGOING |
10 Mar ' 25 - 20 May ' 25 | ATMA registration 2025 (June) ONGOING |
01 Apr ' 25 | TANCET Answer Key Release Date (Provisional) |
01 Apr ' 25 - 03 Apr ' 25 | MAH MBA CET 2025 exam |
Apr ' 25 | TANCET Answer Key Objection Window TENTATIVE |
Apr ' 25 | Publication of TANCET Final Answer Key TENTATIVE |
Dates | Past Exam Dates |
---|---|
23 Mar ' 25 | MAT 2025 CBT (February) |
22 Mar ' 25 | TANCET Exam Date for MBA & MCA |
09 Mar ' 25 | MAT 2025 PBT (February) |
Aug '25 - Sep '25 | CAT 2025 registration TENTATIVE |
Sep '25 | CAT 2025 form correction process TENTATIVE |
1 Apr ' 25 - 3 Apr ' 25 | MAH MBA CET 2025 exam |
3 Mar ' 25 - 5 Mar ' 25 | MAH MBA CET 2025 form correction |
13 Feb ' 25 | CMAT 2025 Result |
31 Jan ' 25 - 2 Feb ' 25 | CMAT 2025 Answer Key Release and Challenge |
23 Mar ' 25 | MAT 2025 CBT (February) |
17 Mar ' 25 - 23 Mar ' 25 | MAT 2025 Admit Card Release CBT (February) |
News & Updates
Student Forum
Answered Yesterday
Bannari Amman Institute of Technology (BAIT) Coimbatore has 240 seats in the Artificial Intelligence and Data Science course. It is one of the popular programmes currently. The seat allotment process for the UG course is carried out through TNEA counselling. Aspirants have to participate in the coun
M
Contributor-Level 7
Answered 2 days ago
I don't know about the criteria to get into the course but I personally feel you need to have a good hold on maths atleast on sets and probabilities permutation combination to get good grip on data science. Rather you don't need integration deffertiation like topics.
R
Beginner-Level 3
Answered 2 days ago
An UG degree is required to get into the University of Texas at Arlington MSc in Data Science course is required, preferably in Engineering or Mathematics, that includes one semester of Calculus and experience in Programming is required. The requirements are given below:
- A 3.0 GPA in the last 2 years
H
Contributor-Level 8
Answered 4 days ago
Here are some of the top universities that offer online MCA specializing in Cloud Computing, AI, or Data Science:
College | Specialization | Course Fees (INR, in Lakhs) |
Jain Online | MCA with Data Science | 2,00,000 |
Amity Online | MCA with ML & AI | 1,70,000 |
Online Manipal | MCA in Cloud Computing | 1,58,000 |
A
Beginner-Level 5
Answered 5 days ago
The Career Opportunities after graduating from Swinburne University of Technology Master of Data Science are majorly in the field of data engineer, machine learning engineer, data analyst, data architect, junior data scientist, customer support analyst and many more.
Adittionally, students can also
j
Contributor-Level 10
Answered 6 days ago
To get into Yale MS in Statistics and Data Science course, an UG degree is required. Other entry requirements are given below:
- GRE is optional, GRE Mathematics subject is also optional
- Academic Statement of Purpose
- Letters of Recommendation
- TOEFL / IELTS
- Resume / CV (if required)
G
Contributor-Level 8
Answered a week ago
To find this information, you can visit the websites of different colleges and universities in the country. Some of the colleges and universities offering data Science courses are: IIT Roorkee, IIT Guwahati, IIT Mandi, Chandigarh University, Dr. BR Ambedkar National Institute of Technology Jalandhar
Answered a week ago
To enroll at the London School of Economics and Political Science for the MS course in Data science, international students must have an undergraduaet degree with a minimum of 2:1 honours or equivalent in a relevant discipline, including a substantial amount of mathematics.
International students are
j
Contributor-Level 10
Answered a week ago
While IEM Newtown offers a B.Tech in Computer Science and Engineering, it doesn't appear to have a specific "Data Science" branch within the CSE course, but focuses on areas like AI, IoT, and Cyber Security.
K
Contributor-Level 7
Answered a week ago
Aligarh Muslim University (AMU) does not admit students to its B.Tech programs through CUET-UG. Instead, admissions are conducted through the AMUEEE (AMU Engineering Entrance Examination).
AMU offers B.Tech in the following specializations:
• Chemical Engineering
• Civil Engineering
• Computer Enginee
Answered a week ago
For the full-time MS in Data Science program, the duration is usually around 18 months to 2 years as per the standard admission; however, it stipulates that students should finish their MS programme within 3-4 semesters.
M
Contributor-Level 10
Answered a week ago
choosing AI over maths in 11th and 12th grade limits your undergraduate options since maths is a compulsory subject for Science and engineering programs. However, you still have a few good choices.Pursue a bachelor's degree in computer Science that allows specializing in AI/ML later on. The core CS
Answered a week ago
No, job experience is not required for admission into the MS in Data Science programme at Stony Brook University. Nevertheless, the candidates need to have a sound academic background in computer science, data science, statistics, mathematics, or related sciences with a strong mathematical and progr
M
Contributor-Level 10
Answered a week ago
Admission requirements to get into the MS in Data Science programme at Stony Brook University is as follows:
- Should possess a bachelor's degree in computer or computer science, data science, stats, math, natural science, engineering, applied science, or social science, with high proficiency in mathem
M
Contributor-Level 10
Answered a week ago
The application deadlines for the MS in Data Science programme at Stony Brook University are as follows:
Fall 2025 Application Deadlines:
For international students: all online applications are due by May 1, 2025
For domestic applicants: all online applications are due by July 15, 2025
There is no spr
M
Contributor-Level 10
Answered a week ago
Both Indiana University Indianapolis and Arizona State university are the popular university in the USA and globally known for their high quality of courses and specialization.
The MS course tuition fee for the 1st year at Indian University Indianapolis ranges between INR 14 L - 41 L. whereas, the A
j
Contributor-Level 10
Answered a week ago
The University of Melbourne's Masters Degree in Data Science is well known throughout the world. Some vital rankings and recognitions are as follows:
- QS Subject Rankings: The QS Subject Rankings assessment allocated #44 rank to The University of Melbourne for Data Science and Artificial Intelligence
M
Contributor-Level 10
Answered a week ago
The total tuition cost to study MS Data Science at The University of Melbourne is around AUD$88,167 (INR 48,32,797). An estimated cost of attendance is detailed below:
Fees components | Amount (for 1 year) |
---|---|
Hostel & Meals | INR 16,00,349 |
Insurance | INR 35,912 |
Transportation | INR 1,06,580 |
Application Fee | INR 7,160 |
Phone and Internet | INR 53,262 |
Entertainment | INR 2,72,371 |
Gas and/or electricity | INR 35,527 |
Total approximate fees | INR 21,11,161 |
M
Contributor-Level 10
Answered a week ago
Yes, part-time study option is available for Master of Data Science programme in The University of Melbourne. The degree can be completed over four years in part-time study, giving students time to balance other commitments with study.
M
Contributor-Level 10
Answered a week ago
The admission requirements for the MS Data Science programme at The University of Melbourne are as follows:
- A first-class undergraduate degree (or equivalent) in any discipline with a Weighted Average Mark (WAM) of at least 65 percent (or equivalent).
- Computer Science Requirement: Completion of at le
M
Contributor-Level 10
Answered a week ago
The job market for MS in Data Science graduates from The University of Melbourne is robust and diverse. Data scientists can work in fields as diverse as health, retail, or ecology. Data Scientist graduates of The University of Melbourne boast job titles such as data analyst, business or strategy an
M
Contributor-Level 10
Answered 2 weeks ago
International students can pursue a University of Delaware MS in Data Science course at an affordable cost. Students get a quality education with better career opportunities after completing the MS degree from the university. The University of Delaware ranking is among the top 100 MS universities in
S
Contributor-Level 7
Answered 2 weeks ago
The MS Information Systems programme at Northeastern University operates on a rolling basis. Applications will be fully considered for the indicated term if they are submitted by the deadlines mentioned. Applications submitted after the specified dates will be evaluated on a case-by-case basis.
Fall
M
Contributor-Level 10
Answered 2 weeks ago
Pursuing an MS in Data Science from Northeastern University offers several benefits:
- Students learn machine learning and data mining, artificial intelligence and visualization in order to make business decisions strategically.
- Students learn from expert faculty who are thought leaders in business anal
M
Contributor-Level 10
Answered 2 weeks ago
No, the MS in Data Science programme is not available online at Northeastern University. Northeastern University's Khoury College of Computer Sciences offers the Data Science, MS Degree program. The course is offered in person. However, Northeastern University offers other online programs, but not s
M
Contributor-Level 10
Answered 2 weeks ago
Northeastern University's MS in Data Science programme is well-regarded and offers several strengths in terms of coursework, faculty, and internship/job opportunities. It provides a thorough grounding in data Science theory and practice, as well as the resources and know-how to convert data into str
M
Contributor-Level 10
Answered 2 weeks ago
No, students don't need to have programming experience or a background in technology to have a future in it. Candidates need a bachelor's degree in any discipline, drive, and a fresh perspective. For students without a background in programming, Northeastern University provides an aligned master's d
M
Contributor-Level 10
Answered 2 weeks ago
Admissions for the MS Data Science programme at Northeastern University are on a rolling basis. Applicants should submit online applications and other documents before the below-mentioned deadlines.
Spring Term
International Students: | September 15 |
Domestic students: | December 1 |
Fall Term
International Students: | April 15 |
Domestic students: | August 1 |
M
Contributor-Level 10
Answered 3 weeks ago
You can, if you have done Maths, Commerce and Economics.
M
Beginner-Level 1
Answered 3 weeks ago
The job market for individuals with a Master of Science in Data Science from New York University (NYU) is generally strong. According to the US Bureau of Labor Statistics, the median annual wage for data scientists was $108,020 in May 2023. Some of the potential job roles and estimated salary ranges
M
Contributor-Level 10
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