Bangalore Yeshwanthpur Campus

Master of Science (Data
Science)

Open from: 11-Jun-2026 | Open until: 23-Jun-2026

Artificial Intelligence & Machine Learning Statistical Modelling & Inferential Analytics Big Data & Cloud Computing Database Technologies & Data Engineering Full Stack Web Development Data Visualization & Business Intelligence
6
Trimester
1
Specialisations
2 Yrs
Duration
Top 50
B-School India
Applications OpenUntil 23-Jun-2026
90 %
Placement
6
Trimester
30
industrial partners
11
Specialization
Programme Overview

About the Programme

 

 

Data Science is popular in all academia, business sectors, and research and development to make effective decision 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 six trimesters.

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. Candidate gains exposure to research models and industry standard applications in data science through guest lectures, seminars, projects, internships, etc.

 

 

 

 
 
 

Advanced Analytics

Build expertise in machine learning, data mining, and predictive modelling.

Hands-on Learning

Gain practical experience through labs, projects, and industry-relevant tools.

Industry Exposure

Engage in internships and real-world case studies aligned with industry needs.

Research & Innovation

Explore emerging areas like AI, big data, and intelligent systems.

Why at Bangalore Yeshwanthpur Campus

Why Choose This Programme?

High-Demand Career Opportunities
Data Science professionals are in high demand across industries such as IT, healthcare, banking, finance, e-commerce, and research.

Comprehensive Skill Development
Build strong capabilities in programming, analytics, statistics, data visualization, and cloud computing.

Practical Learning Approach
Gain hands-on experience through labs, mini projects, workshops, and internships.

Emerging Technology Integration
Learn cutting-edge technologies including AI, Machine Learning, Big Data, Cloud Computing, and Data Engineering.

Research & Innovation Support
Encourages participation in research publications, innovation projects, and advanced analytical studies.

Placement-Oriented Curriculum
Curriculum is aligned with industry needs to enhance employability and technical expertise.

Areas of Specialisation

Choose Your Track

The MSc Data Science programme is designed to provide students with advanced knowledge in data analytics, statistical computing, machine learning, cloud technologies, and intelligent systems. The curriculum integrates computer science, statistics, mathematics, and modern data-driven technologies to prepare students for emerging careers in analytics and artificial intelligence. The programme emphasizes practical learning through laboratories, case studies, mini projects, internships, and research activities. Students gain hands-on exposure to Python, R, Java, SQL, MongoDB, Django, Hadoop, cloud platforms, and modern analytical tools used in the industry.

Data Analyst

This track focuses on extracting meaningful insights from data to support business decisions and strategy. Students learn data visualization techniques to create interactive dashboards and reports, apply statistical analysis to identify trends and patterns, and develop business intelligence skills to convert data into actionable insights.

Data Scientist

This track prepares students to build advanced analytical models and intelligent systems for solving complex problems. It covers machine learning model development for prediction and classification, data preprocessing and transformation techniques, and the application of AI solutions across various real-world domains.

Data Engineer

This track is designed for students interested in building and managing data infrastructure at scale. It includes working with big data technologies such as Hadoop and Spark, managing structured and unstructured databases, and integrating data systems with cloud platforms for efficient processing and storage.

Learning Outcomes

What You Will Learn

A comprehensive understanding of data science, analytics, and intelligent systems for real-world problem solving.
Acquire proficiency in programming tools for domain-specific problem-solving.
Hands-on expertise in Python programming, data handling, and libraries such as NumPy, Pandas, and Matplotlib.
Strong foundation in probability, statistical inference, regression modelling, and predictive analytics.
Knowledge of database systems including SQL, PL/SQL, and MongoDB for efficient data management.
Exposure to cloud computing, Hadoop, and distributed systems for handling large-scale data.
Admissions

Eligibility & Fee Structure

Eligibility Criteria
Fee Structure (Indicative)
After Graduation

Career Paths

Data Scientist
Data Analyst
Machine Learning Engineer
AI Engineer
Business Intelligence Analyst
Data Engineer
Cloud Data Specialist
Big Data Engineer
Statistical Analyst
Research Analyst
Full Stack Developer
Analytics Consultant
Personalised Path

Your Career Roadmap

Select a specialisation track to explore the learning journey and career outcomes tailored to your chosen domain.

S1-S2
Track 1

Learn Python, SQL, and Statistical Foundations
Develop Data Cleaning & Reporting Skills
Understand Data Visualization Concepts
Build Analytical Thinking
Work with Databases & Queries

SEM1 TO SEM2
S3-S4
Track 1A

Perform Statistical Analysis using R
Build Interactive Dashboards
Learn Business Intelligence Tools
Apply Regression Models
Work on Analytical Mini Projects

SEM3 TO SEM4
S5-S6
Track 1B

Industry Internship & Case Studies
Real-Time Data Analytics Projects
Advanced Reporting Techniques
Research & Presentation Skills
Placement Preparation & Mock Interviews

SEM5 TO SEM6
Data Analyst Track — Career Outcomes
Data AnalystrnBI AnalystrnReporting AnalystrnMarket Research AnalystrnOperations Analyst
Average Starting Package: ₹ 4LPA-7LPA
S1-S2
Track 2

Learn Programming & Algorithms
Understand Probability & Statistics
Develop Mathematical Foundations
Learn Database Technologies
Build Problem-Solving Skills

Machine Learning & AI Specialist
S3-S4
Track 2A

Study Machine Learning Algorithms
Learn Regression & Predictive Analytics
Explore Artificial Intelligence Concepts
Build Intelligent Models
Work on AI Mini Projects

Machine Learning & AI Specialist
S5-S6
Track 2B

Deep Learning & NLP Applications
AI-Based Research Projects
Industry Internship in AI Domain
Advanced Model Development
Placement & Technical Training

Machine Learning & AI Specialist
Data Scientist Track — Career Outcomes
Machine Learning EngineerrnAI EngineerrnDeep Learning SpecialistrnNLP EngineerrnResearch Associate
Average Starting Package: ₹ 6LPA - 12LPA
S1-S2
Track 3

Learn Database Design & SQL
Understand Linux & Cloud Basics
Work with MongoDB & PL/SQL
Study Algorithms & Data Structures
Learn Full Stack Fundamentals

Data Engineer & Cloud Specialist
S3-S4
Track 3A

Study Cloud Services & Virtualization
Learn Distributed Systems
Understand Hadoop & Big Data
Build Data Pipelines
Work on Cloud-Based Projects

Data Engineer & Cloud Specialist
S5-S6
Track 3B

Industry Internship in Data Engineering
Big Data & Cloud Deployment Projects
Research in Scalable Systems
Advanced Database Management
Placement & Certification Training

Data Engineer & Cloud Specialist
Data Engineer Track — Career Outcomes
Data Engineer\r\nCloud Data Specialist\r\nBig Data Engineer\r\nETL Developer\r\nDatabase Administrator
Average Starting Package: ₹ 5LPA - 10LPA
From the Department

Message from the HOD

HOD Name
Computer Science)
Bangalore Yeshwanthpur Campus

Welcome to the Department of Computer Science at CHRIST (Deemed to be University - BYC), situated in the dynamic city of Bangalore. Our journey commenced in the auspicious year of 1990, and over the course of two decades, we have unwaveringly pursued our mission: to cultivate the next generation of IT professionals, firmly grounded in ethical and humanitarian values. Through steadfast dedication, we have refined our expertise and expanded our competence within the domain of core Computer Science education and pioneering research.
Within these esteemed halls, we offer a comprehensive spectrum of academic programs, spanning from undergraduate and postgraduate degrees to

Read more...

Computer Science, Bangalore Yeshwanthpur Campus
How to Join

Admission Process

1
Register
  • Register with your Email ID
  • Login to the Admission Portal
2
Apply Online
  • Fill the Application Form
  • Pay Application Fee
3
Entrance Test
  • Entrance Test (If Applicable)
  • Assessment
  • Interview
4
Result
  • Check login page for result
  • If selected, Offer Letter attached
5
Fee Payment
  • Pay Course Fee Online
  • Complete Admission Process
Ready to Apply?

Applications for the 2026 batch are open. Deadline: 23-Jun-2026.

CHRIST
(Deemed to be University)

Dharmaram College Post, Hosur Road, Bengaluru - 560029, Karnataka, India

Tel: +91 80 4012 9100 / 9600

Fax: +91 80 4012 9000

Email: mail@christuniversity.in

Web: https://www.christuniversity.in

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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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