Bachelor of Science with Global Certification

Data Science and Analytics Integrated with Institute of Analytics (IoA-UK)

Program code: 003A
Course code : 3A06
Course Commencement : July 2023

The minimum qualification required to apply is, pass in the 10+2 examination in Science or Commerce with Mathematics or Statistics as core subjects from PUC / ISC / CBSE or an equivalent board. A course recognized as equivalent thereto by the University.

Study Campus

School of Sciences
#34, 1st Cross
J C Road
Bangalore - 560027
P +91 80434 30100

Admissions Office

JGI Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69
P : +91 7337880218

The course is accredited by Institute of Analytics (IoA) and students will be eligible for graduate membership of IoA after the course completion. They will eligible for membership at the Royal Statistical Society (RSS).

The program instils scientific aptitude, innovative, and critical thinking ability in students to enable them to conduct research and interpret data driven investigation, analyze qualitative and quantitative data through in-depth knowledge, and arrive at scientific solutions. They will also be able to decode patterns and trends of various data, which will lead to effective solutions and making the decision-making process easy.

IoA is a professional body for analytics and data science professionals in UK. It promotes greater awareness, understanding, and innovation in analytics. The RSS is the world’s leading organization to promote the importance of statistics and data, and a professional body for all statisticians and data analysts. Students will be registered as student members at the beginning of the course and will be progressed to graduate membership on graduation.

Course Highlights
  • Develop concepts and designs in a lively studio environment, conversing, making and drawing alongside others.
  • Economic problem solving skills to discuss the opportunities and challenges of the increasing globalization of world economy
  • Ability to apply analytical techniques to analyze and interpret data
  • Ability to use tools such as Python, R, etc. to solve business analytics problems
  • Recognize the importance and value of mathematical and statistical thinking, training, and approach to problem solving on a diverse variety of disciplines
  • Ability to understand a problem with their knowledge in different functional areas of management
  • Analyze the efficiency and equity implications
  • Ability to perform descriptive, predictive, and prescriptive analytics
  • Get trained on the fundamentals

    Jain (Deemed-to-be University) places importance on quality and value when it comes to academics and is committed to providing students with knowledge and skills that are in demand, besides offering opportunities to learn a variety of new concepts and skills.

  • Delve into the Experiential Learning

    Well–equipped digital classrooms, e-library, and state-of the-art-infrastructure are offered to create a unique academic ambience. Jain (Deemed-to-be University) has a multi-disciplinary approach to provide cutting edge quality education to students and enhance discipline, integrity, and the ability to think innovatively. The University aims to create future leaders, who can be the driving force in society.

  • Get trained on career centric concepts

    At Jain (Deemed-to-be University), students can build academic networks through seminars, conferences, University-Industry interface, study-tours, student-exchange programs, and internships that bring endless opportunities to create great career paths.

  • Further Study Guidelines

    The graduate programs at Jain (Deemed-to-be University) offer a strong basic foundation for further studies. Apart from regular academic subjects, other certified programs are offered in association with global professional bodies. We also help you develop career-specific skills and traits that are desired in the industry.

I Semester
  • English – I
  • Core papers
  • Database management system*
  • Basic mathematics*
  • Management concepts and Marketing management
  • Economics – I
  • ICT for analytics – I* / Academic writing
II Semester
  • English – II
  • Core papers
  • Descriptive statistics*
  • Financial statement analysis
  • Economics – II
  • Environment studies
  • Mind management and Human values (compulsory)
III Semester
  • Probability theory and Theoretical distribution
  • Structural query language
  • Business analytics
  • Business analytics programming
  • Financial management
  • Communicative English
  • ICT for analytics – II / Data visualization
IV Semester
  • Business forecasting
  • Sampling distributions and Statistical inference
  • Research methodology
  • Analytics narration / Statistical tools - SPSS
  • Financial analytics / Psychology
  • Marketing analytics / Cultural studies
V Semester
  • Financial management
  • Business simulation
  • Analytics for logistics
  • Data manipulation and Data Cleaning using R / Big Data analytics
  • Analytical tools – Python / Deep learning
  • Business environment / Digital marketing
VI Semester
  • Design of experiments and Multivariate analysis
  • Econometrics
  • Predictive modeling using SaS / Artificial intelligence
  • Advanced analytics / Data mining
  • Operations research / Project
  • HR analytics / Gandhian thoughts

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.

Holding a degree in Data Science provides a wide range of career opportunities for students as the need for data scientists or data experts are in demand in various industries such as retail, telecom, media, medical, healthcare etc. Data experts can hold various profiles such as data scientists, analysts, developers, and consultants and work in fields like data mining, data modelling, data architecture, data extraction, transformation, loading development, and business intelligence development.