Bachelor of Science (Honours / Honours with Research) with Global Qualification

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


Eligibility

The minimum qualification required to apply is, to pass 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 recognised as equivalent thereto by the University.

In addition to the above, the applicant must pass both an entrance exam and a personal interview as per the University's requirements.

Overview

The JAIN (Deemed-to-be University) Kochi’s Bachelor of Science with Global Certification Data Science and Analytics Integrated with Institute of Analytics (IoA-UK) students will be eligible for graduate membership of IoA after the course completion. Data Science and Analytics College in Kochi cultivates a scientific mindset and fosters innovative and critical thinking skills in students. This empowers them to conduct research, interpret data-driven investigations, analyse qualitative and quantitative data with profound knowledge, and devise scientific solutions. Students will develop the ability to decipher patterns and trends in various data sets, facilitating effective solutions and simplifying the decision-making process.

IoA serves as a professional organisation for analytics and data science professionals in the UK, advocating for increased awareness, understanding, and innovation in analytics. The RSS stands as the world’s leading organisation promoting the significance of statistics and data, acting as a professional body for statisticians and data analysts globally. Students will be enrolled as student members at the programme's commencement, progressing to graduate membership upon graduation.

Program code: 003A
Course Commencement : July 2024

Study Campus

JAIN (Deemed-to-be University), Kochi
Knowledge Park, Nirmal Infopark
Kakkanad, Kochi - 682 042
Telephone : 0484 435 5555
Email : [email protected]


student
Curriculum Structure
  • English – I
  • Core papers
  • Database management system*
  • Basic mathematics*
  • Management concepts and Marketing management
  • Economics – I
  • ICT for analytics – I* / Academic writing
  • English – II
  • Core papers
  • Descriptive statistics*
  • Financial statement analysis
  • Economics – II
  • Environment studies
  • Mind management and Human values (compulsory)
  • Probability theory and Theoretical distribution
  • Structural query language
  • Business Analytics
  • Business analytics programming
  • Financial management
  • Communicative English
  • ICT for analytics – II / Data visualisation
  • Business forecasting
  • Sampling distributions and Statistical inference
  • Research methodology
  • Analytics narration / Statistical tools - SPSS
  • Financial analytics / Psychology
  • Marketing analytics / Cultural studies
  • 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
  • Design of experiments and Multivariate analysis
  • Econometrics
  • Predictive modelling using SAS / Artificial intelligence
  • Advanced analytics / Data mining
  • Operations research / Project
  • HR analytics / Gandhian thoughts
Course Highlights
  • Cultivate concepts and designs within a dynamic studio environment, engaging in conversations, crafting, and sketching collaboratively.
  • Develop economic problem-solving skills for discussing the opportunities and challenges presented by the increasing globalisation of the world economy.
  • Apply analytical techniques to effectively analyse and interpret data.
  • Utilise tools like Python, R, etc., to address business analytics problems.
  • Acknowledge the significance and value of mathematical and statistical thinking, training, and approaches in problem-solving across diverse disciplines.
  • Demonstrate the ability to comprehend problems through knowledge in various functional areas of management.
  • Conduct analyses of efficiency and equity implications.
  • Perform descriptive, predictive, and prescriptive analytics.

Career Pathway

Acquiring a degree in Data Science unlocks a broad spectrum of career opportunities for students, owing to the increasing demand for skilled data scientists in various sectors such as retail, telecommunications, media, healthcare, and beyond. Graduates of  Data Science and Analytics College in Kochi can explore a variety of roles, including positions as data scientists, analysts, developers, and consultants. These roles involve working in diverse fields like data mining, data modelling, data architecture, and data extraction, allowing graduates to contribute their expertise to different facets of the industry.

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • Business Intelligence Analyst
  • Data Engineer
  • Data Architect
  • AI Specialist
  • Predictive Modeler
  • Quantitative Analyst
  • IoT Analyst
  • Consultant in Analytics
  • Research Scientist (Data Science)