B. Sc. Data Science

The B. Sc Data Science Programme provides the essential skills for the students to create a successful career in the Analytics domain. The B. Sc Data Science Programme is spread across eight semesters in four years (NEP) as an Honors degree and is a Programme affiliated to Bengaluru North University. Data science has become one of the major branches of Computer Applications and its prominence is steadily increasing interdisciplinary field that blends the magic of programming, mathematics, and business to create something new. Kristu Jayanti College has always made it a point to keep up with the pace of the rapid academic and industry advancements’, and that is why the college launched a degree Programme in B. Sc Data Science.

Data Science used in conjunction with Machine Learning, it aids in the identification of a future trend that may be used to generate actionable insights for future impact. These abilities will assist you in becoming a Data Scientist. As a Data Science aspirant, you'll be emphasising the need of sharing knowledge ranging from quantitative analysis to programming concepts, as well as business intelligence. Any firm that can effectively use data can benefit from data science.

Our students receive a broad education that includes a relevant contemporary industry related curriculum, excellent problem solving and communication skills, and the ability to work in cross-disciplinary teams enhancing their spirit of innovation and academic excellence. Besides students are enriched with knowledge beyond the curriculum through various experiential and participatory learning through various value added, certificate courses, guest lectures, workshops, seminars, intra and inter Collegiate fest, Science Exhibition and industrial visits.

This programme gives learners a thorough foundation in the statistical foundations of data science, as well as the computational skills and algorithmic thinking required for current data analysis. Through guest lectures, seminars, projects, internships, and other opportunities, the learners will be exposed to research models and industry standard applications in data science.

The Department has initiated Academic Alliance with various industries to bridge the gap between academia and industry. Industries like UiPath, SalesForce, Oracle Academy, Microsoft Dynamics Academic, ICT Academy, ACM-W, NPTEL, AWS Academy, Dell EMC, Palo Alto, Honeywell, SAP, Infosys and VMware IT Academy are on-board to craft initiatives to address the contemporary skill gap in the novel computing technologies. It helps to ensure the industry, a strong pipeline of graduates to meet its future needs. The department also has a Knowledge Kindle Groups and Common Interest Groups to allow the students to connect, communicate and collaborate their creative minds. The department encourages the students for extended learning process such as self-paced learning through various MOOC and NPTEL courses of their interest.

The shared values of our department are exemplified in various extension activities like Social Outreach Programme (SOP) and Computer Literacy Programme (CLP) providing the students an opportunity to recognize their social responsibility and contribute to the development of the society.

Laptops are strongly recommended for the students to facilitate Practical Work, Simulations and research

Why B. Sc Data Science @ Kristu Jayanti college?

  • Emphasising the need of sharing knowledge ranging from quantitative analysis to programming concepts, as well as business intelligence
  • Relevant contemporary Industry related curriculum
  • Knowledge enrichment beyond curriculum through various experiential and participatory learning opportunities through value added, certificate courses, guest lectures, workshops, seminars, intra and inter Collegiate fest, Science Exhibition and industrial visits.
  • Prominent interdisciplinary courses that blends the magic of programming, mathematics and analytics
  • Academic Alliance with various industries to address the contemporary skill gap in the novel computing technologies
  • Knowledge Kindle Groups and Common Interest Groups to allow the students to connect, communicate and collaborate their creative ideas
  • Encouraging self-paced learning through various MOOCs and NPTEL courses
  • Providing opportunity to recognize the social responsibilities through various extension activities like Social Outreach Programme (SOP) and Computer Literacy Programme (CLP)

Eligibility
Any student who has passed PUC/10+2/Pre-University equivalent courses in Science and Mathematics securing a minimum of 40% of marks is eligible.

Career Prospects
The programme provides students with a strong foundation in data analytics, machine learning, statistical analysis, and programming languages. The BSc Data Science Programme have a wide range of career opportunities in the technology and business sectors. They can work as data analysts, business analysts, data scientists, data engineers, and data architects, among others. BSc Data Science graduates can work in various industries, including healthcare, finance, e-commerce, and retail. With the increasing demand for skilled professionals in the data science and analytics sector, career prospects for BSc Data Science graduates are expected to remain strong in the coming years. Graduates can also pursue advanced degrees such as a Master of Data Science or pursue certification Programmes to further enhance their skills and career prospects. A BSc Data Science degree programme, therefore, offers exciting and rewarding career prospects for students interested in the field of data science and analytics.

  Course Matrix

B.Sc Data Science [SEP 2024 Onwards]                          [click here to view syllabus]

Semester

Course Title

Course Type

Credits

I

C Programming

DSC

4

I

C Programming Practical

DSC

2

I

Database Management System

DSC

4

I

Database Management System Practical

DSC

2

I

Mathematical Foundation for Data Science

DSC

4

II

Data Structures

DSC

4

II

Data Structures Practical

DSC

2

II

Basic Statistical Analysis using R

DSC

4

II

Basic Statistical Analysis using R Practical

DSC

2

II

Operating System and Networks

DSC

4

III

Java Programming

DSC

4

III

Java Programming Practical

DSC

2

III

Modern Databases and its Application

DSC

4

III

Modern Databases and its Application Practical

DSC

2

III

Linear algebra

DSC

4

III

NPTEL

SEC

2

IV

Probability and Inferential Statistics

DSC

4

IV

Probability and Inferential Statistics Practical

DSC

2

IV

Data warehousing and Datamining

DSC

4

IV

Data warehousing and Datamining Practical

DSC

2

IV

Artificial Intelligence for Data Science

DSC

4

IV

Online Certificate Course

SEC

2

V

Machine Learning

DSC

4

V

Machine Learning Practical

DSC

2

V

Python Programming

DSC

4

V

Python Programming Practical

DSC

2

V

Research Methodology

DSC

4

V

Statistical Analysis Using SPSS

DSE

4

VI

Exploratory Analysis

DSC

4

VI

Exploratory Analysis Practical

DSC

2

VI

Data Visualization

DSC

4

VI

Data Visualization Practical

DSC

2

VI

Software Engineering

DSC

4

VI

Big Data Analytics

DSE

4

VI

Project

DSE

4