Bangalore Central Campus

Master of Science (Computational Statistics and Applied AI)
Industry Integrated Programme

Open from: 2026-10-15 13:00:00 | Open until: 2026-10-23 10:41:07

Strategic Partnership with Clever Insight Weekend Classes with Flexible Hybrid Learning Development of Industry-Oriented Skills Flexible Schedule Designed for Working Professionals Guidance from Expert Faculty and Industry Professionals
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4
Semester
2
Specialisations
2 Yrs
Duration
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Applications OpenUntil 2026-10-23 10:41:07
2
Duration in years
4
Semesters
20
Number of Courses
80
Number of Credits
Programme Overview

About the Programme

MSc (Computational Statistics and Applied AI) is a two-year postgraduate programme offered in partnership with CleverInsight, Bangalore. The programme consists of four semesters where the classes are conducted during weekends. The industry-integrated MSc programme in Computational Statistics and Applied AI is an excellent opportunity for professionals who want to transition into the data science and AI fields.The programme structure is designed to equip students with industry-focused data science, data engineering, and applied AI modules 
The programme's practical training and hands-on experience will give students the skills and knowledge to become data-driven decision-makers. Collaborating with industry experts and working on live projects provides students real-world experience, making them industry-ready.

Industry-Integrated Curriculum with CleverInsight

Designed in collaboration with industry experts to provide practical exposure in Computational Statistics, Data Science, Data Engineering, and Applied AI.

Weekend Classes with Hybrid Learning

Flexible weekend learning format enables students and professionals to pursue higher education without interrupting their careers.

Hands-on Learning through Live Projects

Gain real-world experience by working on industry-oriented projects, case studies, and practical applications in AI and analytics.

Career-Focused Training for Emerging Technologies

Develop in-demand skills and become industry-ready for roles in Data Science, Artificial Intelligence, Business Analytics, and related domains.

Why at Bangalore Central Campus

Why Choose This Programme?

Industry-Relevant Skill Development

Build practical skills aligned with current industry requirements in AI, analytics, and data-driven technologies.

Practical Learning with Real-world Projects

Gain hands-on experience through live projects, case studies, and real-world problem-solving activities.

Strategic Collaboration with CleverInsight

Benefit from industry exposure, expert mentoring, and collaborative learning opportunities through the partnership with CleverInsight.

Tailored Schedule for Working Professionals

Flexible weekend classes are designed to help professionals balance academic learning with work commitments.

Learn advanced AI techniques using the latest tools

Explore modern AI concepts and technologies using industry-standard tools and platforms.

Expert Faculty and Industry Collaboration

Learn from experienced academicians and industry professionals who bring both theoretical and practical insights to the classroom.
 

Areas of Specialisation

Choose Your Track

Data Science and Analytics

Build expertise in extracting meaningful insights from complex datasets using statistical methods, machine learning, and visualization techniques.

Data Engineering and Big Data

Gain practical knowledge in designing, managing, and processing large-scale data systems for modern enterprises.

Applied Artificial Intelligence

Explore real-world AI applications and develop intelligent systems using modern AI tools and frameworks.

Learning Outcomes

What You Will Learn

A Foundational Statistical Skills: Master statistical methods, scripting languages, and visual analytics to analyze and interpret data effectively.
Data Engineering Proficiency: Acquire skills in data engineering and pipelines, crucial for handling and processing large datasets in real-world scenarios.
Advanced Statistical Learning: Explore statistical learning models, NLP, and NLG to uncover insights and patterns, enhancing decision-making processes.
Applied AI in Business: Learn to apply AI in business contexts, gaining insights into how AI can revolutionize and optimize various aspects of organizational operations.
Specialized Electives: Choose from various specialized electives, including deep learning models, real-time data modeling, and others tailored to your interests and career goals.
Capstone Projects: Apply acquired knowledge in capstone projects across semesters, reinforcing practical skills and demonstrating competence in statistical analysis and applied AI.
Academic Curriculum

Programme Structure

The programme structure outlines the academic curriculum designed to provide a systematic progression of learning through core subjects, electives, and practical components across semesters, ensuring both theoretical understanding and skill development.

Semester 1 — Foundations of Statistics, Programming and Data Engineering
COREStatistical Methods4 Credits
COREProgramming using Python4 Credits
COREVisual Analytics4 Credits
COREPrescriptive and Operational Models4 Credits
COREData Engineering & Data Pipelines4 Credits
COREStatistical Learning Models4 Credits
COREStatistical NLP & NLG4 Credits
COREData Driven Decision Science4 Credits
COREApplied AI in Business4 Credits
COREIoT and Cloud Analytics4 Credits
CORECore  |  ELECElective  |  SPEC Specialisation  |  AEC Ability Enhancement Course  |  SEC Skill Enhancement Course  |  DSE Discipline Specific Elective  |  VAC Value Added Course  |  MDCMultidisciplinary Course
Semester 3 — Advanced Modeling and Applied Analytics
COREReal Time Data & Time series Modeling4 Credits
COREDeep Learning Models4 Credits
ELECCategorical Data Analysis4 Credits
ELECMultivariate Techniques 4 Credits
ELECCausal Inference4 Credits
ELECNo Code Analytics Platform4 Credits
CORECAPSTONE PROJECT-I4 Credits
COREExplainable and Generative AI4 Credits
COREReinforcement Learning4 Credits
ELECStochastic Modeling4 Credits
ELECBayesian Inference 4 Credits
ELECData Ethics and Privacy Protection AI Strategy4 Credits
ELECBig Data Analytics4 Credits
CORECAPSTONE PROJECT-II4 Credits
CORECore  |  ELECElective  |  SPEC Specialisation  |  AEC Ability Enhancement Course  |  SEC Skill Enhancement Course  |  DSE Discipline Specific Elective  |  VAC Value Added Course  |  MDCMultidisciplinary Course
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Admissions

Eligibility & Fee Structure

Eligibility Criteria
Fee Structure (Indicative)
Personalised Path

Your Career Roadmap

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

Data Science and Analytics Careers

I & II Semesters:  Data Analyst, Junior Data Analyst, Reporting Analyst, Business Analytics Associate, Data Visualization Analyst
III & IV Semesters: Data Scientist, Business Intelligence (BI) Analyst, Big Data Analyst, Analytics Consultant, Machine Learning Analyst, Decision Science Associate
 

Data Science and Analytics Careers
Data Science and Analytics Track — Career Outcomes
Average Starting Package: ₹ 8-15 LPA
Data Engineering and Big Data Careers

I & II Semesters:   Data Analyst, Database Analyst, Junior Data Engineer, ETL Developer, Data Operations Associate
III & IV Semesters:    Data Engineer, Cloud Data Engineer, Data Pipeline Developer, Data Platform Associate, Big Data Architect, Cloud Data Architect, Data Engineering Consultant

Data Engineering and Big Data Careers
Data Engineering and Big Data Track — Career Outcomes
Average Starting Package: ₹ 10-18 LPA
Applied Artificial Intelligence Careers

I & II Semesters:    AI Analyst, Junior Data Scientist, Machine Learning Associate, AI Application Developer, Analytics Associate 

III & IV Semesters:  Machine Learning Engineer, Deep Learning Engineer, AI Engineer, Generative AI Engineer, AI Solutions Architect, AI Research Scientist

Applied Artificial Intelligence Careers
Applied Artificial Intelligence Track — Career Outcomes
Average Starting Package: ₹ 12-20 LPA
From the Department

Message from the HOD

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 are open. Deadline: 2026-10-23 10:41:07.

Department Page
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