
Admission Open for 2025
Application Deadline: 15th September 2025
*For Indian Students Only
POSTGRADUATE
Master of Science in Data Science
School of Sciences
Course Duration
2 years (4 Sem)
Mode
Online (Live + Recorded)
Course Fee
INR 2,50,000.00
Journey of Excellence
Data Science is popular in all academia, business sectors, and research and development to make effective decisions in day-to-day activities. The Master of Data Science (MDS) is a postgraduate program that combines computer science and statistics to foster proficiency in data-driven decision-making. It is a two-year course comprising four semesters.
This programme aims to provide opportunity to all candidates to master the skill sets specific to data science with research bent. The curriculum supports the students to obtain adequate knowledge in theory of data science with hands-on experience in relevant domains and tools. Candidates gain exposure to research models and industry standard applications in data science through guest lectures, seminars, projects, etc.

Eligibility Criteria
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A candidate who has passed an Undergraduate degree with 50 % aggregate marks from any University in India or abroad that is recognized by UGC / AIU.
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Students must fulfill any criteria described below in order to be eligible for the programme:
- BE/BTech (All Combinations )
- BSc with Statistics / Mathematics / Computer Science as a major or minor (minimum 2 semesters)
- BSc in Data Science / Data Analytics, or BCA
- BA/BCom/BBA with Maths / Business Maths / Data Analytics/Data Science / Statistics / Computer Science


Christ
Online

Course Curriculum
An online course curriculum is a simple plan for what students will learn in an online class. It has lessons, exercises, and quizzes to help with learning. Students can study anytime while following clear goals.
Semester 1
- Principles of Data Science
- Python Programming
- Mathematical Foundation for Data Science
- Statistical Methods with Inference
- Python Programming Lab
Semester 2
- Database Technologies
- Machine Learning
- Data Structures And Algorithms
- Applied Regression Analysis
- Machine Learning Lab
- Data Visualisation
Semester 3
- Deep Learning
- Cloud Computing
- Elective -1 (Cyber Security / IoT / Computer Vision )
- Generative AI
- Full Stack Project
- Internship
Semester 4
- Elective -2
- Elective -3
- Industry Project
Offered Programmes
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Meet Our Expert Faculty
Learn from skilled professionals who bring real experience and knowledge to help you succeed.

Dr AKSHITA SHARMA
Specialization: Reliability Theory
Dr. Akshita Sharma is a committed academician and researcher. She holds an MSc i... Read More





Dr LIBIN CHACKO SAMUEL
Specialization: Mathematics
Mr Libin Chacko Samuel is an Assistant professor of Mathematics in the Departmen... Read More


Dr TULASI B
Specialization: Computer Science
Dr. Tulasi B is an Associate Professor in the Department of Statistics and Data ... Read More

Application Process for Master of Science in Data Science
Register once to apply for multiple programs with the same ID.
- Fill in your details: Enter your name, email, mobile number, state, city, programme, course, and captcha. Verify your details before submitting. Click 'Register' to complete.
- Validate Email: You will receive a validation email. Check your inbox or spam folder, enter the OTP, and click 'Proceed'. If needed, click 'Resend Verification Email'.
- Login with your credentials: Use your registered email ID and password to log in. Enter them correctly in the respective fields.
- Click on the Login button: After entering your details, click on the 'Login' button.
- Forgot password: If you forgot your password, click on the 'Forgot Password' button and follow the necessary steps to reset it.
- Select the program and campus to which you want to apply. Ensure all data is correct before proceeding, as it cannot be edited later.
- Upload a formal photo (3.5 cm x 4.5 cm with white background, max 100 kb). Photos with other backgrounds or taken with mobile devices will result in rejection.
- Fill in personal, educational, and parent/guardian details. Upload clear scanned copies of class 10 and class 11 final report or class 12 Board result.
- Preview and ensure the accuracy of all information before submitting.
- Select the date and centre for the selection process. Refer to the Important Dates section before making a selection.
- Payment Methods: Net Banking, Credit Card, Debit Card, or UPI.
- Non-Refundable: The application fee is non-refundable once the application number is generated.
- Payment Failure: In case of payment failure, the amount will be refunded within 15 business days.
- Printing the Application: A copy of the application can be printed anytime until the selection process is completed.
Why choose this course?
- Industry-driven curriculum aligned with market needs
- Hands-on learning with real-world datasets
- Training in machine learning, AI, and big data analytics
- Opportunities for internships and corporate projects
- Skills for high-demand careers in multiple sectors
- Develops the ability to function effectively both individually and in diverse teams.
What you will learn?
- Data analysis, visualization, and storytelling
- Machine learning algorithms and predictive modeling
- Big data technologies like Hadoop and Spark
- Database management and cloud-based data solutions
- Statistical methods for data-driven decision-making
- Python, R, and SQL for data science applications
Career prospects
- Data scientist, data analyst, or business intelligence expert
- Machine learning engineer or AI model developer
- Data engineer or cloud data architect
- Academic, research scholar, or data science author
- Analytics consultant for industry-specific applications
- Opportunities in tech companies, finance, healthcare, and startups
How We Help You Build Your Dream Career

Data Scientist
- Applying machine learning and statistical models to solve real-world problems
- Gaining expertise in tools like Python, R, and TensorFlow
- Exploring roles across industries like healthcare, finance, and tech

Business Intelligence Analyst
- Turning data into actionable business insights
- Learning dashboard tools like Power BI, Tableau, and SQL
- Exploring careers in operations, sales, and strategic planning

Machine Learning Engineer
- Designing and deploying predictive models and algorithms
- Mastering frameworks like Scikit-learn, PyTorch, and ML pipelines
- Exploring AI-driven roles in tech companies and startups

Data Engineer
- Building and maintaining large-scale data infrastructure
- Learning data pipelines, ETL processes, and big data tools (Spark, Hadoop)
- Exploring roles in data architecture, engineering, and cloud systems
Admission Queries
CHRIST (Deemed to be University) Online Programmes
Email: onlinedegrees@christuniversity.in
Phone: +91 080-48674444
Get more information
CHRIST
(Deemed to be University)
Dharmaram College Post, Hosur Road, Bengaluru - 560029,Karnataka, India
Tel: +91 080-48674444
Email: onlinedegrees@christuniversity.in
Official Web: https://www.christuniversity.in
Vision
EXCELLENCE AND SERVICE
Mission
CHRIST (Deemed to be University) is a nurturing ground for an individual's holistic development to make effective contribution to the society in a dynamic environment.
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