Bangalore Kengeri Campus

Bachelor of Technology (BTech) (Computer Science and Engineering
- Data Science)

Open from: 08-Dec-2025 | Open until: 07-Jun-2026

Consultancy Revenue Number of start ups Citation Index Number of incubatees Number of copyrights Number of books and book chapters
8
Semester
3
Specialisations
4 Yrs
Duration
Top 50
B-School India
Applications OpenUntil 07-Jun-2026
64
Placements
85
Industry MOU’s
3
Specialisation
8
Semester
Programme Overview

About the Programme

 

Computer Science and Engineering (Data Science) is a 4 year, 8 semesters undergraduate program which is a new, exponentially growing field that consists of a set of tools and techniques used to extract useful information from data. The program encompasses data Science as an interdisciplinary, problem-solving oriented subject that learns to apply scientific techniques to practical problems. The course curriculum involves a blend of data inference, algorithm development, and technology to analytically solve complex problems. The program imparts a confluence of skills in three major areas of mathematical expertise, technology hacking skills, and business strategy and acumen. The core of this program is the ultimate use of enormous data in creative ways to generate business value. Hidden insights are brought to the fore to enable companies to make smarter business decisions. Data Science program orients on practical classes and self-study during the preparation of datasets and programming of data analysis tasks.

This course emphasizes on developing the necessary skills for the students to sustain in today’s industrial expectation, in the pursuit of excellence by keeping high personal and professional values and ethics. BTech CSE-Data Science specialization program is a multidisciplinary field that combines statistics, programming, domain knowledge, and data analysis skills. The increasing significance of data in our digital age, along with the numerous opportunities it presents across industries, makes data science courses highly sought after by individuals and organizations looking to harness the power of data for better decision-making and innovation. The demand for data scientists and data architects have been on the rise in recent years, and this trend is expected to continue for the foreseeable future.

Data Science

This program equips students with the skills to collect, process, analyze, and interpret complex datasets for intelligent decision-making and business solutions.

Artificial Intelligence

Students learn AI techniques and intelligent algorithms that help machines perform tasks such as prediction, automation, and pattern recognition.

Big Data Analytics

The curriculum focuses on handling massive volumes of structured and unstructured data using modern big data tools, cloud technologies, and analytical platforms

Computer Science

The program builds a strong foundation in programming, databases, algorithms, software engineering, and computational problem-solving required for data-driven technologies.

Why at Bangalore Kengeri Campus

Why Choose This Programme?

Dedicated laboratories for data science research.

Fully equipped labs provide hands-on experience in data analytics, machine learning, and AI model development. Students gain practical exposure using industry-standard tools and real-world datasets

Abroad university exchange programs

Students get opportunities to study or collaborate with international universities for global exposure. These programs help enhance academic learning and cross-cultural technical experience.

Data Science student clubs associated seminars and conferences

Student-led clubs and academic events encourage innovation, peer learning, and knowledge sharing. Regular seminars and conferences connect students with experts and emerging trends in the field

Industry Tie-ups for internships, project work and for placements.

Strong collaborations with companies provide internship opportunities and real-time industry projects. These partnerships improve employability and placement prospects in leading organizations.

Industry 4.0 curriculum to match recent frameworks

The curriculum is aligned with modern Industry 4.0 technologies such as AI, IoT, cloud computing, and automation. It ensures students are trained in future-ready skills required by global industries.

Exclusive domain expert faculty members

Experienced faculty with strong expertise in Data Science and related domains guide students through advanced concepts and research. They bring academic excellence combined with industry insights to enhance learning outcomes.
 

Areas of Specialisation

Choose Your Track

Area of Specialization

Data Analytics

Focuses on understanding data, identifying patterns, and generating insights to support business and research decisions.

Machine Learning

Build intelligent systems that learn from data and make predictions or decisions without explicit programming.

Big Data Engineering

Focuses on managing and processing large-scale datasets using distributed systems and cloud technologies.

Learning Outcomes

What You Will Learn

Students will learn how to write code in various programming languages like Python, R, understand data structures, and design algorithms used in data science.
Understanding of different types of databases, SQL, NoSQL, and database management.
Familiarity with technologies like Hadoop, Spark, and related distributed computing systems.
Students would likely learn about data manipulation, statistical analysis, and data visualization techniques using tools such as IBM SPSS and Tableau.
Gaining skills in web technologies, such as HTML, CSS, Java Script, and server-side scripting. This includes building dynamic web applications.
Practical experience in solving real-world problems using data science and engineering techniques. Skills related to managing data science projects and working in teams.
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 — Computer Programming
COREMathematics – I3 Credits
COREPhysics4 Credits
COREBasic Electrical Engineering4 Credits
COREComputer Programming3 Credits
COREEngineering Graphics3 Credits
COREBasics of Civil Engineering and Engineering Mechanics4 Credits
COREHolistic Education-I1 Credits
ELECAbility Enhancement Course-I 1 Credits
CORECore  |  ELECElective  |  SPEC Specialisation  |  AEC Ability Enhancement Course  |  SEC Skill Enhancement Course  |  DSE Discipline Specific Elective  |  VAC Value Added Course  |  MDCMultidisciplinary Course
Semester 2 — Python Programming
COREMathematics – II3 Credits
COREChemistry4 Credits
COREBasic Electronics4 Credits
COREPython Programming3 Credits
COREBasic Mechanical Engineering3 Credits
SPECEnglish Language and Communication Skills for Engineers2 Credits
COREWorkshop Practice Lab1 Credits
SPECHolistic Education-II1 Credits
ELECAbility Enhancement Course-II1 Credits
Semester 3 — Data Structures
COREDigital Systems and Computer Architecture3 Credits
COREIntroduction to Data Science4 Credits
COREData Structures3 Credits
COREDiscrete Mathematics3 Credits
COREData Base Management System3 Credits
COREDesign Thinking2 Credits
COREExtended Reality1 Credits
COREData Structures Lab1 Credits
COREData Base Management System Lab1 Credits
SPECHolistic Education III1 Credits
ELECAbility Enhancement Course-III1 Credits
SPECEnvironmental science NCC-22 Credits
CORECore  |  ELECElective  |  SPEC Specialisation  |  AEC Ability Enhancement Course  |  SEC Skill Enhancement Course  |  DSE Discipline Specific Elective  |  VAC Value Added Course  |  MDCMultidisciplinary Course
Semester 4 — Computer Networks
COREStatistical Data Engineering and visualization4 Credits
COREOperating Systems3 Credits
COREObject Oriented Programming4 Credits
COREComputer Networks3 Credits
COREEntrepreneurship2 Credits
CORESoftware Engineering and Project Management2 Credits
COREOperating Systems Lab1 Credits
COREObject Oriented Programming Lab1 Credits
CORENetworks Lab1 Credits
CORECapstone Project 11 Credits
SPECHolistic Education IV1 Credits
ELECAbility Enhancement Course-IV1 Credits
SPECNCC-2 2 Credits
Semester 5 — Cloud Computing
COREMachine Learning3 Credits
CORECloud Computing3 Credits
COREDesign and Analysis of Algorithms4 Credits
COREInternet and Web Programming3 Credits
SPECResearch Ethics &IPR2 Credits
CORECloud Computing Lab1 Credits
COREInternet and Web Programming Lab1 Credits
COREInternship - I1 Credits
COREProgram Elective 13 Credits
ELECOpen Elective I3 Credits
ELECAbility Enhancement Course-V1 Credits
SPECIndian Constitution Credits
ELECNCC-2 2 Credits
CORECore  |  ELECElective  |  SPEC Specialisation  |  AEC Ability Enhancement Course  |  SEC Skill Enhancement Course  |  DSE Discipline Specific Elective  |  VAC Value Added Course  |  MDCMultidisciplinary Course
Semester 6 — Deep Learning
CORENatural Language Processing and Generative AI3 Credits
COREDeep Learning3 Credits
COREBig Data Analytics3 Credits
COREProgram Elective II3 Credits
ELECOpen Elective II3 Credits
CORENatural Language Processing and Generative AI Lab1 Credits
COREBig Data Analytics Lab1 Credits
COREService-Learning Project2 Credits
CORECapstone Project 21 Credits
ELECAbility Enhancement Course-VI1 Credits
ELECGlobal Elective 22 Credits
Semester 7 — Internship
COREBusiness Intelligence3 Credits
ELECProgram Elective III3 Credits
ELECProgram Elective IV3 Credits
COREInternship - II1 Credits
COREProject Work I3 Credits
SPECIndian Knowledge system1 Credits
CORECore  |  ELECElective  |  SPEC Specialisation  |  AEC Ability Enhancement Course  |  SEC Skill Enhancement Course  |  DSE Discipline Specific Elective  |  VAC Value Added Course  |  MDCMultidisciplinary Course
Semester 8 — Project Work
COREProgram Elective V3 Credits
COREProject Work II6 Credits
Admissions

Eligibility & Fee Structure

Eligibility Criteria
Fee Structure (Indicative)
After Graduation

Career Paths

Data Scientist
Data Analyst
Machine Learning Engineer
Business Intelligence (BI) Analyst
Data Engineer
Big Data Engineer
AI Engineer
Statistician
Cloud Data Engineer
Data Architect
Research Scientist (Data Science & AI)
Data Specialist
Personalised Path

Your Career Roadmap

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

S1-S2
Data Analytics

Focuses on understanding data, identifying patterns, and generating insights to support business and research decisions.

Data Analytics
Data Analytics Track — Career Outcomes
Data Analyst Business Intelligence (BI) Analyst Reporting Analyst Operations Analyst Marketing Data Analyst
Average Starting Package: ₹ 3.5 LPA - 7 LPA
S1-S2
Machine Learning

Build intelligent systems that learn from data and make predictions or decisions without explicit programming.

Machine Learning
Machine Learning Track — Career Outcomes
Machine Learning Engineer AI Solutions Developer Deep Learning Engineer Predictive Analytics Specialist
Average Starting Package: ₹ 5 LPA - 10LPA
S1-S2
Bigdata Engineering

Focuses on managing and processing large-scale datasets using distributed systems and cloud technologies

Bigdata Engineering
Big Data Engineering Track — Career Outcomes
Big Data Engineer Data Pipeline Engineer Cloud Data Engineer Data Architect Analytics & Big Data Consultant
Average Starting Package: ₹ 8 LPA - 10 LPA
From the Department

Message from the HOD

HOD Name
Dr. Michael Moses T
AI and Data Science Engineering)
Bangalore Kengeri Campus

We are at the vanguard of a technological revolution in which data-driven solutions and intelligent systems are reshaping every industry. At CHRIST (Deemed to be University), the Department of AI and Data Science Engineering is dedicated to fostering the next wave of researchers, innovators and moral AI experts who can develop significant answers to pressing problems. Academic rigour and experiential learning are integrated in our department. Our students participate in project-based learning, research, industry collaboration and internships as part of a comprehensive curriculum that is tailored to stay up with global a

Read more...

AI and Data Science Engineering, Bangalore Kengeri 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: 07-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

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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