Data Science (M.A.S.)
- Future-proof your career with AI and big data expertise.
- Learn by doing through real-world industry projects.
- Strengthen your technical core for advanced data careers.
- Study flexibly—anywhere, anytime.
Download prospectusProgram Overview
Recognized for Excellence
in Illinois and #22 in the United States for Best Graduate Salaries
— Wall Street Journal/College Pulse 2026
World’s Top Universities
— TIME Magazine/Statista 2026
STEM universities named an “Opportunity College and University” for the high salaries of our graduates
— Carnegie Foundation/ACE 2025
Scholarships and Aid
Illinois Tech offers competitive scholarships for graduate students, with automatic merit review, additional need‑based aid, and program‑specific awards.
Why Choose Illinois Tech Mumbai
Experience world‑class, Chicago‑built tech education delivered at a modern and industry‑connected Mumbai campus.
Illinois Tech brings decades of innovation and leadership from our Chicago campus to Mumbai, offering you globally recognized academic programs.
High‑quality, industry‑aligned STEM and business programs empower you with in‑demand skills that lead to strong job prospects and competitive salaries.
Illinois Tech’s one-of-a-kind Elevate initiative guarantees you access to hands-on experience through internships, real-world projects, and personalized mentorship that supports both academic growth and career development.
Why a Data Science (M.A.S.) from Illinois Tech Mumbai?
Program Content
Develop expertise in machine learning, deep learning, big data analytics, and data visualization by building a strong foundation in mathematics, programming, or statistics in Illinois Tech Mumbai’s Master of Data Science. Through collaborative real-world projects with industry partners, you’ll build a network of connections and showcase your experience in cutting-edge, relevant data.
Careers and Employability
Illinois Tech ranks #1 in Illinois and #22 in the U.S. for graduate salaries, reflecting excellent earning potential across its programs.
This program trains you to work on real-world data problems, build models, and gain experience applying your knowledge in practical, industry-relevant contexts.
Our graduates consistently perform exceptionally well in the job market—the mean starting salary of our 2025 U.S. graduates within six months of graduation was well above the national average (Bureau of Labor Statistics 2026). Visit our Career Outcomes page for more details.
Career Paths with an Illinois Tech Data Science (M.A.S.) Degree:
- Data scientist
- Data analyst
- Machine learning engineer
- Database architects
- Data warehousing specialists
- Information security analysts
- Data scientists
- Business intelligence analysts
- Clinical data managers
- Database administrators
PROGRAMMING CORE COURSES
- Mathematical Statistics Or Regression
- Machine Learning Or Statistical Learning
- Public Engagement for Scientists
- Data Preparation and Analysis
Select a minimum of one course from the following:
- Advanced Database Organization
- Data-Intensive Computing
- Big Data Technologies
Data Science Capstone
- 6 credit hours of capstone, depending on track
Data Science Electives
- 12 credit hours of data science electives
DATA SCIENCE CAPSTONE
Practicum Track
- Data Science Practicum
Research Track
- Professional master’s project
Coursework Track
6 credits of applications courses or data science electives
DATA SCIENCE ELECTIVES
Computational Fundamentals
- Database Organization
- Introduction to Algorithms
- Operating Systems
- Data Integration, Warehousing, and Provenance
- Advanced Database Organization
- Data Privacy and Security
- Design and Analysis of Algorithms
- Combinatorial Optimization
- Parallel and Distributed Processing
- Cloud Computing
- Data-Intensive Computing
- Software Testing and Analysis
- Big Data Technologies
Computer Science Applications
- Data Mining
- Computer Vision
- Geospatial Vision and Visualization
- Advanced Data Mining
- Information Retrieval
- Cyber-Physical Systems: Languages and Systems
- Cyber-Physical Systems Security and Design
- Deep Learning
- Interactive and Transparent Machine Learning
- Online Social Network Analysis
- Advanced Artificial Intelligence
- Probabilistic Graphical Models
- Machine Learning
- Natural Language Processing
Mathematics, Probability, and Statistics
- Graph Theory and Applications
- Introduction to Stochastic Processes
- Design and Analysis of Experiments
- Mathematical Modeling I
- Mathematical Modeling II
- Mathematical Modeling
- Linear Algebra
- Optimization
- Probability
- Stochastic Processes
- Introduction to Time Series
- Mathematical Statistics
- Regression
- Monte Carlo Methods
- Multivariate Analysis
- Advanced Design of Experiments
- Statistical Learning
- Machine Learning in Finance
- Bayesian Computational Statistics
- Mathematical Methods for Algorithmic Trading
Mathematical and Scientific Computing
- Bioinformatics
- Partial Differential Equations
- Stochastic Dynamics
- Computational Mathematics I
- Computational Mathematics II
- Meshfree Methods
- Computational Physics
Professional Skills
- Project Management
- Public Engagement for Scientists
- Fundamentals of Design
- User Experience Research and Evaluation
APPLICATION COURSES
- Neurobiology
- Bioinformatics
- Biomedical Engineering Applications of Statistics
- Neurobiology (Advanced)
- Computational Neuroscience
- Cognitive Neuroscience
- Neuroimaging
- Quantitative Neural Function
- Strategic Management
- Business Statistics
- Applications of Unmanned Aerial Vehicles for Construction
- Statistical Quality and Process Control
- Introduction to Linguistics
- Social Networks
- Artificial Intelligence in Smart Grid
- Nutrition, Metabolism, and Health
- Food Product Development
- Food Plant Operations
- Performance Management in Food Operations
- Digital Marketing
- Predictive Analytics
- Social Media Marketing Analytics
- Quantitative Marketing Models
- Introduction to Robotics
- Data Driven Modeling
- Robotics
- Statistical Analysis in Financial Markets
- Financial Modeling
- Science and Values
- Ethics in Computer Science
- Learning Theory
- Cognitive Science
- Cognitive and Affective Bases
Computer Science (M.S.) Tuition: INR 20 lakhs per year
Academic Qualifications
- A minimum three‑year undergraduate degree from an institution rated NAAC "A" or better.
- A degree does not need to be in computer science.
India-Specific Eligibility
- 60% cumulative average (Second Class) or a “7”/“Good” rating.
International Applicant Eligibility
- Overall GPA of 3.0/4.0.
Expected Academic Background
Applicants should ideally have foundational knowledge in:
- Linear algebra
- Probability and statistics
- Relational databases
- One programming language, such as Python, Java, C++, MATLAB, or Ruby
- Discrete mathematics
Prerequisite Coursework
- Applicants missing some of the above background may still be admitted if they are strong in other areas (e.g., relevant work experience).
- Such students may be required to complete bridge or prerequisite courses after admission.
Admission Process
From start to submission, our quick and easy application process takes only 15 minutes.
Start your application through the official Illinois Tech Mumbai website. A non‑refundable ₹5,000 application fee is required for postgraduate applications.
Submit your bachelor’s degree transcripts, current CV/resume, personal statement, and one letter of recommendation.
Illinois Tech Mumbai evaluates applicants holistically based on academic performance, qualifications, interview, and other submitted materials. Once approved, you will receive a conditional offer letter.
FAQs
Illinois Tech’s master’s in data science (M.A.S.) is a two‑year, industry‑focused master’s program that helps students build expertise in machine learning, deep learning, big data analytics, and data visualization through hands‑on, real‑world projects.
Applicants need a minimum three‑year undergraduate degree from a NAAC "A" (or better) institution, with a 60% cumulative average or equivalent. A GPA of 3.0/4.0 is expected for international applicants. A background in math, statistics, programming, and databases is recommended.
You’ll develop practical skills in machine learning, AI, deep learning, big data technologies, cloud computing, data modeling, and real‑world data analysis. The program emphasizes project‑based learning and industry collaboration.
Our program is backed by Illinois Tech’s globally recognized curriculum, strong job placements, and the Elevate initiative—guaranteeing you access to hands‑on learning experiences through internships, industry projects, and mentorship.
The next intake begins in September 2026. Early applications are recommended due to high demand.
Want to know if this Data Science (M.A.S.) is the right fit for you?
Speak with our counselors and get personalized insights on outcomes, industry exposure, and program benefits.
