B.Tech in Computer Science & Engineering – Data Science

Eligibility

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

JAIN 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

JAIN Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69
+91 7337618222
080-69279444

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.

Enhance your B.Tech experience with the option to pursue a Minor Degree from IIITH and gain unique opportunities for academic and professional growth!

Key Highlights of the UG Minor Degree Program from IIITH:

Certificate Issuance:

Students will have the option to receive certificates from IIITH upon successful completion of each semester.
These certificates will be issued in three parts over the course of the program, recognizing incremental progress.

Minor Degree Recognition:

University has the discretion to award a minor degree to their students, utilizing the certificates issued by IIITH.
This option allows students to earn additional credentials and enhance their academic profile.

Research Internships:

Top performers in the Minor Program will be considered for research internships at IIITH.
These internships provide an excellent opportunity for students to gain hands-on experience and deepen their expertise in their field of study.

Note:

An additional cost is applicable for enrolling in the UG Minor Degree Program.
To earn the minor degree, students must earn an additional 20 credits on top of their regular credits as part of the curriculum.

Duration of the program: 4 years

Curriculum

I Semester

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

II Semester

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

III Semester

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

IV Semester

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

V Semester

Data Communication and Networks
Software Engineering
Research Methodology
Department Specific Elective I
Machine Learning
Open Elective II
NoSQL Database using MongoDB
Project Centric Learning

VI Semester

Cloud Computing and Virtualization
Big Data Analytics
Department Specific Elective II
Department Specific Elective III
Open Elective III
Environmental Studies
Project 3
Internship-2

VII Semester

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

VIII Semester

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
DSE Tracks		5^th Semester	6^th Semester	6^th Semester	7^th semester	7^th Semester	8^th 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

Note

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.
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.
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