Bachelor in Data Science

Overview

The Department of Data Science is committed to developing skilled professionals who can transform data into meaningful insights and intelligent solutions. The B.Sc. in Data Science programme builds a strong foundation in mathematics, statistics, programming, databases, data structures, artificial intelligence, machine learning, data visualization, and modern data-driven technologies. Through practical laboratory work, projects, workshops, mentoring, and industry-oriented learning, students develop analytical thinking, programming proficiency, problem-solving ability, and professional skills. The department aims to create an innovative learning environment that prepares graduates for careers in data analytics, data science, artificial intelligence, machine learning, business intelligence, research, higher studies, and technology entrepreneurship.

Message from the HoD

The Department of Data Science seeks to prepare students for a world in which data is a critical resource for decision-making, innovation, and digital transformation. Our B.Sc. Data Science programme combines mathematical and statistical foundations with programming, databases, artificial intelligence, machine learning, and practical data analysis. We encourage students to learn through laboratory practice, projects, seminars, competitions, and industry-oriented activities. Our objective is to nurture professionals who are technically competent, analytically strong, ethically responsible, and ready to adapt to rapidly evolving technologies.

Mr. Debabrata Chatterjee

Head of the Department (HOD), Department of Data Science

Notice Board

GCST/BBA/25

Notice for BBA & BBA-HM CA -4 Exam (2023-2024)

GCST/OC/NOTICE/2023/005

NOTICE FOR FINAL SEMESTER MARKSHEET COLLECTION

Programs Offered

PROGRAMS	Intake Capacity	YEARS	SEMESTER	ELIGIBILITY CRITERIA
B.Sc. in Data Science	60 Seats	4	8	1. Academic Qualification: The candidate must have passed 10+2 / Higher Secondary or equivalent from a recognized Board/Council. 2. Entrance Exam: CET (Common Entrance Test) is mandatory for admission.

Curriculum

For 1st Year – Semester 1 & 2 Please visit:

For 2nd Year – Semester 3 & 4 Please visit:

3rd Year – Semester 5 & 6 Please visit:

4th Year – Semester 7 & 8 Please visit:

Career Opportunities

The B.Sc. in Data Science prepares students for a broad range of data-driven roles in technology, business, finance, healthcare, education, research, manufacturing, retail, and other sectors.

Data Analyst / Business Data Analyst
Junior Data Scientist / Data Science Associate
Machine Learning Engineer – Entry Level
Business Intelligence Analyst
Data Visualization Analyst
Python / Data Analytics Developer
Database and Data Management Associate
AI / ML Support and Model Development Associate
Research Assistant / Data Research Associate
Data Quality and Reporting Analyst
Technology Consulting and Analytics Roles
Higher Studies, Research, and Technology Entrepreneurship

Laboratories & Infrastructure

Laboratory-based learning is a major component of the academic framework. The institution’s computing infrastructure supports hands-on training, experimentation, practical assignments, and project-based learning. The uploaded institutional overview states that the computer laboratories are supported by high-speed internet and campus-wide Wi-Fi, modern computer systems, centralized servers, UPS and power backup, licensed software, updated operating systems, development tools, antivirus, and firewall protection. The institution has more than 300 computer systems for extensive hands-on exposure.

Data Science and Programming Laboratory
Python, SQL, statistics and data-analysis practical work
Machine Learning and Artificial Intelligence practicals
Data visualization and business-intelligence exercises
Project-based learning and capstone development
High-speed internet and campus-wide Wi-Fi
Modern computer systems with updated configurations
Centralized server, storage and backup facilities
UPS and power backup for uninterrupted laboratory sessions
Updated operating systems, development tools and security software

Research & Innovation

Research and innovation activities in Data Science may focus on applied artificial intelligence, machine learning, statistical modelling, data analytics, data visualization, natural language processing, computer vision, predictive analytics, and interdisciplinary applications. Students can be encouraged to participate in research projects, technical seminars, workshops, hackathons, innovation challenges, conferences, and industry-linked problem solving. The department aims to cultivate a research-oriented mindset in which students learn to formulate problems, analyze data, evaluate models, communicate findings, and develop responsible data-driven solutions.

Global College of Science and Technology