Master of Science (Data Science and Analytics)

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 dealing with diverse data models, or a data analyst extracting insights, this program is tailored for you. Subject matter experts and industry professionals will keep you engaged through domain knowledge, relatable examples, simulations, and practical projects, guiding you over the next two years to become a well-trained data science professional. Data Science and Analytics College in Kochi cultivates a scientific mindset and fosters innovative and critical thinking skills in students.

Eligibility
Candidates should have a minimum of 50% in their graduation, in any one of the following

• Data science/Analytics
• Mathematics
• Statistics
• Computer Science/Applications

Programming knowledge is a prerequisite for this programme. In addition to the above, the Applicant must pass both an entrance exam and a personal interview as per the University requirements.

Curriculum Structure
Semester 1

• 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

Semester 2

• 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

Semester 3

• Applied Regression Analysis
• Big Data Analytics
• Deep Learning
• Predictive Modelling with SAS
• Open Elective
• Big Data Analytics LAB
• Deep Learning LAB
• PCL – Project III

Semester 4

• Natural Language Processing / Reliability Modelling
• Computer Vision / Cloud Computing / Design and Analysis of Experiments
• Research Publication II
• Project / Internship

Course Highlights

• Equip candidates with the skills to tackle real-world problems, fostering their growth as proficient software professionals, research scientists, and data scientists/analysts.
• Provide training in constructing decision-making models and devising solutions for practical business scenarios.
• Address industry demands by preparing candidates to emerge as competent Data Scientists and Analysts.
• Offer ample opportunities for students to enhance their in-demand Data Science skills relevant to the current industry landscape.
• Learn to apply statistical, machine learning, and deep learning models using programming languages such as Python and R, while also gaining proficiency in sought-after technologies like Tableau, SAS, SPSS, etc.

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.
• 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.

• 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)