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Computer Science Engineering

B.Tech in Computer Science & Engineering – Data Science


Student must have passed 10+2 or equivalent examination with Physics, Mathematics and English as compulsory subjects along with Chemistry or Biotechnology or Biology or any technical vocational subjects as optional with a minimum of 60% marks (55% in case of SC/ST) taken together in Physics, Mathematics and any one of the optional subjects.

Study Campus
JGI Global Campus
Faculty of Engineering & Technology
45th km, NH - 209, Jakkasandra Post
Bangalore - Kanakapura Main Road
Ramanagara District - 562 112
+91 80 2757 7198
+91 7337618222
Admissions Office
JGI Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69
+91 7337618222
About the program

The B.Tech. (Honors) in Computer Science & Engineering (Data Science) provides a comprehensive and dynamic curriculum that focuses on equipping students with fundamental concepts, techniques, and tools to analyze and interpret complex data, extract meaningful insights, and make data-driven decisions. The program emphasizes hands-on experience with real-world data, preparing graduates to be in high demand in a growing field with numerous career opportunities.

Why to take this course?

The advent of the internet has transformed the business landscape by expanding the digital technology industry. Every online action leaves a digital footprint leading to a rapid explosion of data daily. This data provides valuable insights for organizations to monitor customer behavior and make data-driven decisions. Computer Science professionals play a critical role in extracting and analyzing this data, resulting in a vast number of job opportunities in this sector. To meet this demand, JAIN (Deemed-to-be University) offers B.Tech (Honors) - Computer Science & Engineering (Data Science), which prepares students for a successful career in this field.

Program Specific Outcome

On completion of the Data Science program, students will possess the following program specific outcomes:

  • PSO 1: Possess strong analytical, mathematical, statistical, computer science and data science knowledge to solve the problems of various diverse domains using standard tools, frameworks, and technologies in practice to make best suitable for industry, academia, and research.
  • PSO 2: The ability to analyze, design and develop algorithms and computer programs in the areas related to Data Science to predict and build models to solve real world problems.

Duration of the program: 4 years

  • Engineering Physics
  • Fundamentals of Electrical and Electronics Engineering
  • Communicative English
  • Mind Management and Human Values – 1
  • Problem Solving Techniques
  • Applied Chemistry
  • Calculus and Matrix Algebra
  • Project Centric Learning
  • Data Structures
  • Probability and Vector Space
  • Project 1
  • Workshop Practices
  • Object Oriented Programming
  • Digital Logic Design
  • Biology for Engineers
  • Python Programming
  • Mind Management and Human Values – 2
  • Economics for Engineers
  • Operating System
  • Computer Organization and Architecture
  • Foundations of Mathematics –I+
  • Discrete Mathematics and Graph Theory
  • Design and Analysis of Algorithms
  • Indian Constitution
  • Project Centric Learning
  • Inferential Statistics
  • Introduction to Data Science
  • Python for Data Science
  • Data Preprocessing and Feature Engineering
  • Open Elective I
  • Database Management Systems
  • Foundations of Mathematics –II
  • Project 2
  • Internship-1
  • Data Communication and Networks
  • Software Engineering
  • Research Methodology
  • Department Specific Elective I
  • Machine Learning
  • Open Elective II
  • NoSQL Database using MongoDB
  • Project Centric Learning
  • Cloud Computing and Virtualization
  • Big Data Analytics
  • Department Specific Elective II
  • Department Specific Elective III
  • Open Elective III
  • Environmental Studies
  • Project 3
  • Internship-2
  • Artificial Neural Networks and Deep Learning
  • Spark for Data Science
  • Department Specific Elective IV
  • Advanced Deep Learning
  • Department Specific Elective V
  • Open Elective IV
  • Project 4
  • Department Specific Elective VI
  • Dimensionality Reduction and Model Validation Techniques
  • Pattern Recognition
  • Intellectual Property Rights
  • Internship-3
  • Research*
Department Specific Electives
DSE Tracks Elective-I Elective-II Elective-III Elective – IV Elective – V Elective – VI
5th Semester 6th Semester 6th Semester 7th semester 7th Semester 8th Semester
Track-I Data Analytics and Visualization   Data Visualization using Tableau Data Analytics using SQL Visualization using Power BI (Business Intelligence) Social Media Analytics Big Data Analytics on Cloud Predictive Analytics  
Track-II Artificial Intelligence   Artificial Intelligence Sensor Technologies Natural Language Processing and Text Mining Reinforcement Learning   Digital Image Processing   Robotics Process Automation  
Track-III Computational Models and Data Mining   Numerical Analysis and Optimization Data Warehousing and Data Mining     Time Series Analysis   Probabilistic Graphical Models   Bio Inspired Optimizations Techniques   Enterprise Data Lake  
Computer Science and Engineering (Open Elective Baskets)
Sl. No Finance and Accounting Entrepreneurship and new venture creation Marketing and Management
1 Finance for non-finance professionals Entrepreneurship Theory and Practice Marketing Management
2 Wealth Management   Launching and managing an enterprise   Consumer Behavior
3 Indian Financial System Business Plan and Project Implementation Brand Management
4 Financial Reporting Sustainable Entrepreneurship Product Management
  • Data Scientist
  • Data Architect
  • Data Engineer
  • Research Analyst
  • Data Analyst
  • Data Science Engineer
  • Data Processing Engineer
  • Machine Learning Researcher
  • Data Modeler Analyst
  • Data Science Evangelist
  • Geo-Computation Expert
  • Microsoft Azure Data Scientist Associate -From Microsoft
  • Red Hat OpenShift Data Science- From Red Hat
  1. The university will cover the cost of global certification (only for two certifications) and it is limited to one attempt. If students fail to complete the first certification, the university will not cover the cost for the second certification attempt.
  2. In the event that the certification industry changes the name of the certification, the university reserves the right to modify the name of the certifications accordingly.
  3. The university retains the authority to adjust the certification name it offers in accordance with industry trends.

Students are provided with a structured learning path integrated with contributions from the following organizations. This approach facilitates a holistic comprehension of diverse facets within the field, empowering students to cultivate specialized skills and knowledge as they progress through their academic journey.

  • Microsoft
  • Google
  • LinkedIn
  • Open SUSE