School of ScienceM.Sc. Data Science & Analytics Accredited by the IoA, UK
Overview
The JAIN (Deemed-to-be University) Kochi’s M.Sc. in Data Science aims to provide comprehensive skills in traditional areas of data engineering and analysis, applicable to various sectors such as business, finance, industrial, and scientific research. Additionally, it covers emerging areas like social data analysis and big data. Whether you aspire to become a data engineer working with raw data, a data scientist deal.
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Program Code
044
Duration
02 Years
Study Campus
JAIN University, Kochi Campus
Curriculum Structure
Any request in the change of the dates for JAIN Entrance Test will not be entertained
Mathematical Methods for Data Science
Probability Distributions for Data Science
Artificial Intelligence
DBMS for Analytics
Mathematical Methods for Data Science LAB
Probability Distributions for Data Science LAB
DBMS for Analytics LAB
PCL – Project I
Statistical Inference for Data Science
Multivariate Techniques for Data Science
Machine Learning Techniques
Open Elective
Statistical Inference for Data Science LAB
Multivariate Techniques for Data Science LAB
Machine Learning Techniques LAB
Research Publication I
PCL – Project II
Applied Regression Analysis
Big Data Analytics
Deep Learning
Predictive Modelling with SAS
Open Elective
Big Data Analytics LAB
Deep Learning LAB
PCL – Project III
Natural Language Processing / Reliability Modelling
Computer Vision / Cloud Computing / Design and Analysis of Experiments
Research Publication II
Project / Internship
Course Highlights
Globally Recognised Accreditation
Accredited by the Institute of Analytics (IoA), UK, the program ensures international professional standards and career opportunities in data science.
Advanced Data Science Training
Gain expertise in machine learning, big data technologies, predictive modeling, and AI with hands-on tools and platforms.
Industry-Aligned Learning
Engage in real-world projects, internships, and analytics case studies to prepare for high-demand roles in data-driven industries.
Career Outcomes
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. With a Master’s degree in Data Science and Analytics, numerous avenues open up, including roles as Data Analysts and Data Scientists. For those interested, pursuing a PhD or engaging in research within the domain of data science is a viable option. Surveys indicate that by 2026, the world will need approximately 2.6 million data scientists. 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.
Career Pathway
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)
FREQUENTLY ASKED QUESTIONS
This programme stands out due to its accreditation by the Institute of Analytics (IoA), UK, and its focus on both academic depth and industry relevance. It blends advanced analytical techniques with business intelligence, ensuring graduates are job-ready for high-impact roles in the global market.
Students will undertake hands-on projects using real-world datasets, often in collaboration with industry partners. These capstone projects emphasize practical problem-solving in areas like finance, healthcare, marketing analytics, or operations optimization.
Yes, the programme is designed to be interdisciplinary, drawing from computer science, statistics, and business domains. It also includes guest lectures, industry case studies, and opportunities for interaction with professionals and data practitioners, enhancing practical exposure and networking.
