The BCA in Data Science programme prepares students for data-centric careers by integrating core computer applications with statistical computing, machine learning, analytics, and data visualization. Learners work with real datasets using Python, R, SQL, and advanced analytical frameworks. The curriculum emphasizes hands on problem-solving, predictive modelling, and business intelligence techniques. Designed to meet growing industry demand, this programme enables graduates to pursue careers in data analytics, AI/ML, and advanced studies in data science, analytics, and computational sciences.
Eligibility Criteria
10+2 with Mathematics mandatory and 60% marks
For B Tech Students On the basis of PCM percentage
Candidates eligible for scholarship on the basis of Physics, Chemistry & Mathematics percentage at 10+2 level as mentioned below:

Note: The scholarship amount received in the first year will be applicable for all subsequent years. The student must maintain a minimum CPI of 8.00 to avail the scholarship in the next year of his/her studies.
BCA – Data Science
3 Years
The BCA in Data Science programme prepares students for data-centric careers by integrating core computer applications with statistical computing, machine learning, analytics, and data visualization. Learners work with real datasets using Python, R, SQL, and advanced analytical frameworks. The curriculum emphasizes hands on problem-solving, predictive modelling, and business intelligence techniques. Designed to meet growing industry demand, this programme enables graduates to pursue careers in data analytics, AI/ML, and advanced studies in data science, analytics, and computational sciences.
Eligibility Criteria
10+2 with Mathematics mandatory and 60% marks
GLdvantage
At GLA University, we emphasize education beyond classrooms with project-based learning to ensure our students imbibe what the industry requires.
Graduates are prepared for a variety of roles in the growing data economy, such as:
These roles are in demand across industries including IT, finance, consulting, healthcare, e-commerce, and public service.
Our researchers pushing the frontiers of knowledge and discovery to explore complex problems and find solutions.
Patents
Published
Research
Centres
Publications in
SCI & Scopus
Graduates of the BCA in Data Science programme will be able to:
Understand and apply key computing and data science principles confidently.
Use modern programming languages and tools to analyse and visualise datasets.
Develop data-oriented solutions to support decision-making in diverse domains.
Interpret results and present insights to both technical and non-technical audiences.
Exhibit professional and ethical behaviour in handling and analysing data.
After completing the programme, students will be able to:
Build a strong foundation in computing and data science fundamentals.
Apply programming, statistical, and analytical tools to extract insights from data.
Solve practical problems using data-oriented methods and technologies.
Communicate findings clearly and work collaboratively in technical teams.
Engage in continuous learning to keep pace with evolving technologies.
Apply machine learning and predictive analytics to real-world challenges.
Conduct statistical analysis and modelling to derive actionable insights.
Work with big data technologies to manage, process, and visualise complex datasets.
Integrate data science knowledge to support strategic decisions in business, research, or technology domains.
BCA in Data Science is a specialized program designed to equip students with strong foundations in computer applications along with advanced skills in data analysis, statistics, and machine learning. The course focuses on transforming raw data into meaningful insights, enabling students to solve real-world problems using data-driven approaches in various industries.
The program emphasizes practical learning through coding labs, data projects, and real-world case studies. Students gain hands-on experience with tools and technologies used in data analysis, visualization, and predictive modeling. Guided by experienced faculty, this course prepares graduates to excel in the rapidly growing field of data science and analytics.
These activities are organized through student clubs, departmental societies, university festivals, and regular institutional programs. Typical categories and representative examples
Register online by filling in your basic details on the admission portal.
https://
student.glauniversity.in/
Main/Admission
That’s it — your journey with GLA begins here.
Learn more, grow faster, and discover your direction
Open for admission year 2026-27