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Syllabus PDF
Download Brochureroles like Scientist, Engineer, Technical Officer, JE, often requiring competitive exams like GATE, ESE, or specific PSU tests for roles in R&D, infrastructure, and defense technology.
Programs
UG Degree
Data Science & Analytics
2 Years
Overview
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Eligibility Criteria
Access to the CSED – Industry 4.0 Facility for Data Science and Analytics is generally available to students enrolled in relevant computing and engineering programmes offered by the university, as per institutional guidelines.
Academic Fee
Scholarship
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.
Top-Tier Companies in Our Placement Network
Programs
UG Degree
Data Science & Analytics
2 Years
Overview
Lorem ipsum, dolor sit amet consectetur adipisicing elit. Cupiditate incidunt, ducimus alias esse laborum, nisi eaque sed quisquam, excepturi accusamus aliquam ratione doloremque ad inventore libero quas eum tempore architecto.
Eligibility Criteria
Access to the CSED – Industry 4.0 Facility for Data Science and Analytics is generally available to students enrolled in relevant computing and engineering programmes offered by the university, as per institutional guidelines.
Academic Fee
GLdvantage
Designed to Produce Future-Ready Engineers
The Data Science & Analytics programme at GLA University is designed to develop advanced knowledge in manufacturing systems, production processes and industrial engineering practices.
Specialised Industry 4.0 Learning Facility
The CSED – Industry 4.0 Facility for Data Science and Analytics provides students with exposure to modern data driven technologies used across industries.
Focus on Data Analysis and Interpretation
Students learn how large volumes of data are collected, organised, analysed, and used to support business and technological decision making.
Hands-on Experience with Data Tools
The facility provides practical exposure to analytical tools, programming environments, and data processing techniques through guided laboratory sessions.
Application Based Learning Approach
Through practical projects and demonstrations, students understand how data science is applied in real world scenarios across technology, business, and research domains.
Alignment with Industry 4.0 Technologies
The facility supports learning aligned with modern digital transformation trends where data analytics plays a central role.
Career Prospects
Knowledge of data science and analytics opens opportunities in many industries where data driven decision making plays a critical role.
Public Sector
B.Tech ECE graduates in the government sector can pursue careers in PSUs, Defense & Space, Telecom, Research, Railways, and Civil Services, with key
Private Sector
B.Tech ECE graduates in the private sector can pursue core electronics roles (VLSI, Embedded Systems, Telecom, RF Engineering, Electronics Design),
IT/Software jobs (Software Developer, AI/ML Engineer, Data Analyst), and emerging tech fields like Robotics and IoT, with top recruiters including major IT firms. Key paths involve Hardware/Software roles, R&D, and Network Engineering, focusing on areas like signal processing, systems, and automation for diverse opportunities in tech giants and startups.
Further Study Options
Students can explore opportunities in
- Data analytics companies
- Technology and IT organisations
- Financial and consulting firms
- Digital service platforms
- Research and analytics organisations
Possible career roles include
- Data Analyst
- Business Analyst
- Data Scientist
- Analytics Associate
- Data Visualisation Specialist
- Research Analyst
Research
Think Beyond Innovation in a Research-Driven Environment
Our researchers pushing the frontiers of knowledge and discovery to explore complex problems and find solutions.
850+
Patents
Published
14
Research
Centres
12k+
Publications in
SCI & Scopus
Outcomes & Objectives
Understand the fundamental concepts of data science, analytics, and data driven technologies.
Analyse datasets using appropriate analytical and statistical techniques.
Apply programming and analytical tools for data processing and interpretation.
Develop simple data models and visualisations to support decision making.
Work collaboratively on analytical projects and case based learning activities.
Communicate analytical insights effectively in both academic and professional contexts.
Recognise ethical considerations related to data collection, privacy, and usage.
Adapt to evolving technologies and analytical methods in the data science domain.
Provide students with a clear understanding of the principles and techniques used in data science and analytics.
Enable students to analyse datasets and derive meaningful insights using modern analytical tools and methods.
Prepare students to address real world problems by applying data analysis and statistical approaches.
Encourage continuous learning in emerging areas such as big data analytics and data driven decision making.
Analyse structured and unstructured data to identify trends, patterns, and insights.
Use modern tools and programming environments for performing data analysis and visualisation.
Develop analytical solutions that assist organisations in making informed decisions.
Explore the role of data analytics in areas such as business intelligence, technology systems, and research environments.
Why CSED - Industry 4.0 Facility Data Science & Analytics?
CSED - Industry 4.0 Facility Data Science & Analytics is designed to equip students with advanced analytical, computational, and problem-solving skills required in today’s data-driven industries. The program focuses on data interpretation, machine learning, artificial intelligence, and predictive analytics, enabling learners to extract meaningful insights and support strategic decision-making across diverse sectors.
The curriculum emphasizes practical learning through industry-oriented tools, real-time datasets, and emerging Industry 4.0 technologies. Students gain exposure to data visualization, statistical modeling, automation, and intelligent systems while working closely with expert faculty and modern laboratory facilities. This program prepares graduates for dynamic careers in analytics, digital transformation, and technology-driven business environments.
What else can you do while studying at GLA
GLA University offers a wide range of campus extra-curricular activities across all domains.
These activities are organized through student clubs, departmental societies, university festivals, and regular institutional programs. Typical categories and representative examples
Admission Process
How to apply to GLA
Registration
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.
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