OVERVIEW
To train talented individuals who can navigate through the complexities of the future, KRMU curated the B.Sc. (Hons.) Data Science programme. The programme ensures that graduates are ready to meet the demands of the global technological industries with the perfect blend of technical and theoretical training. The B.Sc. (Hons.) Data Science programme prepares students to become experts in fundamental computer software subjects like operating systems, machine learning, programming, etc. The programme aims to prepare professionals familiar with current and advanced technological tools to carry out investigation, analysis and synthesis by identifying various computer–oriented solutions.
Programme Highlights
Unveiling the Foundations of
Data Science Excellence
The strong foundations of the programme ensure that our students are ready to face the dynamic landscape of data sciences. The programme seamlessly blends theory with practical learning to offer the best learning pathway that focuses on the essentials of data science principles and the latest innovations in the industry. The B.Sc. (Hons.) Data Science programme curriculum focuses on data analysis, optimisation, predictions, and statistical models, which act as a bridge between our students and their successful, bright futures.
Programme Structure
- Mathematical Foundations for Computer Science
- Web Development Essentials
- Foundations of Programming using Python
- Foundations of Computing and Career Readiness
- Analytics for Decision Making
- Introduction to Design Thinking and Prototyping
- VAC-I (Environmental Studies & Disaster Management)
- Principles of Algorithm Design and Analysis
- Building Scalable Web Backends
- Specializaton Course-II (Machine Learning for Advanced Applications)
- Open Elective-II
- Communication & Personality Development
- Summer Internship-I (Assessment)
- Competitive Coding - I
- Community Service
- VAC-II
- Specializaton Course-IV (Practical Applications of Generative AI)
- Essentials of Software Engineering
- Competitive Coding - III
- Summer Internship-II (Assessment)
- Comprehensive Placement Preparation
- Major Project-I
- MOOC (Swayam/ NPTEL/AICTE’s ELIS )
- Industry Internship
- Major Project-II
- MOOC (Swayam/ NPTEL/AICTE’s ELIS )
Connecting Talent to Dream Careers
K.R. Mangalam University has collaborated with prominent industry leaders like Accenture, Amazon, Deloitte, IBM, etc. These partnerships offer unparalleled career opportunities to students. We ensure that our graduates are well-prepared to make a significant change in society and secure notable roles in leading organisations.
Career Options
The B.Sc. (Hons.) Data Science programme opens doors to a wide spectrum of career options for our students. Through a focused curriculum that imparts detailed knowledge of data sciences and its dynamics, our students, over the years, have secured some of the most well-paid jobs in the industry. Here are some of the most popular career pathways that B.Sc. (Hons.) Data Science students choose:
Programme
Outcomes
Core Competencies in Engineering
Demonstrate understanding and apply foundational mathematical concepts, computing principles, and domain knowledge to conceptualize computing models that address defined problems.
01
Modern tool usage
Create, select, and apply appropriate techniques, resources, and modern IT tools including prediction and modeling to complex computer science activities with an understanding of the limitations.
02
Societal and Environmental Responsibility
Apply contextual knowledge to evaluate societal, health, safety, legal, and cultural issues, while understanding the impact of engineering solutions on the environment and advocating for sustainable development.
03
Ethics
Apply ethical principles and commit to professional ethics and responsibilities and norms of the computer science practice.
04
Effective Communication and Team Collaboration
Excel in both individual and team roles within diverse and multidisciplinary settings, while communicating complex computer science concepts clearly through effective reports, presentations, and interactions.
05
Project management
Apply engineering and management principles to lead and manage projects effectively in computer science contexts.
06
Life-long learning
Embrace and actively pursue continuous learning to stay current with technological advancements and evolving practices in computer science.
07
Successful professionals in industry, government, academia, research, entrepreneurial pursuits and consulting firms.
01
Able to apply their knowledge of computer science & engineering principles to solve societal problems by exhibiting a strong foundation in both theoretical and practical aspects of the field.
02
Dedicated to upholding professional ethics and social responsibilities, with a strong commitment to advancing sustainability goals.
03
Demonstrating strong leadership skills and a proven ability to collaborate effectively in diverse, multidisciplinary teams to successfully achieve project objectives.
04
Understanding the core concepts, theories, tools, techniques, and methodologies of Data Science.
01
Applying Data Science principles to solve real-world data challenges.
02
Analysing data contexts, problems, and issues using appropriate methodologies.
03
Evaluating alternative data solutions and making informed decisions to optimize results.
04
Designing and developing innovative data-driven solutions to address complex problems.
05
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Frequently Asked Questions
Commence Your Journey
in 6 Simple Steps
Complete payment and submit
Pay the required Application Fee
Take an entrance test
K.R. Mangalam University Entrance Examination (KREE)
Appear for interaction
Attend our Faculty-Led Interview.
Get the admission offer
You will receive the offer letter after the successful interaction
Get Enroled
Be prepared to embark on your journey