Bachelor of Computer Application (BCA - Specialization)

Data Analytics


Eligibility

The minimum qualification required is a pass in the 10+2 Science or Commerce with Maths/Statistics/Computer Science/Information Practice as one of the core subjects in PUC / ISC / CBSE or an equivalent board. A course recognized as equivalent thereto by the University.

Overview

Data Analytics deals with the segregation, integration, management, and analysis of huge volumes of data to extract valuable insights from it. These insights enable leaders to make strategic decisions. The program, Bachelor’s degree in Computer Applications-Data Analytics at Jain (Deemed-to-be University) is industry centric training students in core aspects of Data Analytics such as data mining, data optimization, data visualization, data stimulation as well as technical skills and aptitude that are required in data management. The course will enable them to face the challenges of a modern technological global environment.

Program code: 044B
Course Commencement : July 2024

Study Campus

JAIN Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69
Ph: +91 8310942174


Admissions Office

JAIN Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69
Ph : +91 8310942174
Ph : 080 - 46650100

Curriculum Structure
  • Language I
  • Kannada
  • Sanskrit
  • Hindi
  • Additional English
  • English I
  • Fundamentals of Mathematics
  • Computer Fundamentals and Organization
  • Programming in C
  • Introduction to Linux
  • C Programming Lab
  • Linux Lab
  • English II
  • Operating System
  • Oops With C++
  • Data Structures Using C
  • Oops With C++ Lab
  • Data Structures Lab
  • Skill Enhancement Course (SEC) I
  • Mind Management and Human Values
  • Fundamentals of Information Security
  • RDBMS
  • Computer Networks
  • Programming in Java
  • Discrete Mathematics Or Probability and Statistics
  • Entrepreneurial Development Or Principles of Business Management
  • Learning Lab
  • RDBMS - Lab
  • Java Programming - Lab
  • Introduction to Data Analytics
  • Web Technology
  • Big Data Programming Or Data Visualization
  • Communicative English
  • Indian Constitution Or Indian Aesthetics
  • Data Mining Or Predictive Modelling
  • Learning Lab
  • Web Technology – Lab
  • Big Data Programming - Lab Or Data Visualization - Lab
  • Introduction to Data Analytics
  • Web Technology
  • Big Data Programming Or Data Visualization
  • Communicative English
  • Indian Constitution Or Indian Aesthetics
  • Data Mining Or Predictive Modelling
  • Learning Lab
  • Web Technology – Lab
  • Big Data Programming - Lab Or Data Visualization - Lab
  • Business Analytics Or Web and Social Media Analytics
  • Finance and Risk Analytics Or Supply Chain Analytics
  • Learning Lab
  • Business Analytics – Lab Or Web and Social Media Analytics – Lab
  • Research Publication
Course Highlights
  • Uniquely designed course with valuable inputs from leading analytics firms, well balanced between concepts and hands-on practice.
  • Intensive assignments, case studies, and projects are integral parts of the program.
  • Students learn about popular tools/software viz., Basic Data Querying (SQL, Excel), Hadoop, MapReduce, Pig, Hive, Neo4j, Casandra, MongoDB, HBase, Python and even Statistical Packages like R, SAS, and Advanced Excel.
Career Enhancement Programs

Career enhancement programs are formulated as per current industry standards and reflect on our commitment to build a unique workforce, which will meet the challenges in the industry. Evaluation is based on internal assessment, seminars, assignments, practical and theory examination and reports prepared by the students. To keep them at the forefront of employability, the career enhancement program prepares students with the necessary soft skills such as communication, presentation, and public speaking skills, personality development, and interview techniques.

Career Outcomes

Holding a BCA degree with a specialization in Data Analytics will provide students with opportunities to work as data scientist, health care analyst, statistician, business analyst, data analyst, technical team leader, big data analyst, quantitative analyst, project manager, market research analyst, computer systems analyst etc.