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.

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 Computer Science and Mathematics securing a minimum of 40% of marks is eligible.

PROGRAMME MATRIX

 Course Code  Course Title
   Mathematical Foundation for Data Science
   Computing and Programming Fundamentals
   Programming in C
   Programming in C Practical
 Open Elective
   English I
   Functional Kannada
   Kannada Bhasha Patrike I
   Office Automation
   Yoga
   Health and Wellness
 Course Code  Course Title
   Basic Statistical Analysis using R
   Operating System and Networks
   Data Structures
 Open Elective
   English II
   Kannada Bhasha Patrike II
   Hindi Kahani Sahitya aur Prayojan Mulak Hindi
   Additional English I
   Environmental Studies
   Sports
   NSS/NCC/Red Cross/Cultural
 Course Code  Course Title
   Linear Algebra
   OOPs with Java
   OOPs with Java Practical
   Data Warehousing and Datamining
 Course Code  Course Title
   Probability and inferential statistics
   Probability and inferential statistics Practical
   Foundation of Data Science
   RDBMS
   RDBMS Practical
 Course Code  Course Title
   Big Data Analytics
   Big Data Analytics Practical (Hadoop)
   Python Programming
   Machine Learning
   Machine Learning Tool Practical
   Modern Databases
   Data Analysis Tools Practical
 Course Code  Course Title
   Data Visualization
   Data Visualization Practical
   Cloud Computing
   Cloud Computing Practical
   Project
   Artificial Neural Networks
   Digital Analytics
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