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 be experts in fundamental computer software subjects like operating systems, machine learning, programming, etc.
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
- Fundamentals of Web Technologies
- Matlab Programming
- Linux Environment Lab
- Introduction to Programming in Python
- Fundamentals of Web Technologies Lab
- Matlab Programming Lab
- Programming in Python lab
- Value Added-Course
Environmental Studies & Disaster Management
- Fundamentals of Software Engineering
- Essentials of Computer Science (MOOC)
- Introduction to Data Structures
- Fundamentals of Machine Learning
- Basics of Probability & Statistics
- Introduction to Java Programming
- Verbal Ability
- Introduction to Java Programming Lab
- Introduction to Data Structures Lab
- Machine Learning Lab
- Value-Added Course
- Summer Internship-I
- Competitive Coding- I
- Club/Society
- Fundamentals of Algorithm Design & Analysis
- Introduction to Database Management Systems
- Introduction to Computer Networks
- Introduction to Database Management Systems Lab
- Fundamentals of Algorithm Design & Analysis Lab
- Introduction to Computer Networks Lab
- Communication & Personality Development
- Minor Project-II
- Open Elective-II
- Competitive Coding Bootcamp- II
- Community Service
- Computer Organization and Architecture
- Discipline Specific Elective -I
- Computational Services in The Cloud OR
- Microsoft Azure Cloud Fundamentals OR
- Storage and Databases on Cloud OR
- Application Development and DevOps on Cloud
- Discipline Specific Elective -I Lab
- Computational Services in The Cloud Lab OR
- Microsoft Azure Cloud Fundamentals Lab OR
- Storage and Databases on Cloud Lab OR
- Application Development and DevOps on Cloud Lab
- Discipline Specific Elective-II
- Mobile Application Development using iOS OR
- DevOps & Automation OR
- .Net FRAMEWORK OR
- New Age Programming Languages
- Discipline Specific Elective -II lab
- Mobile Application Development using iOS Lab OR
- DevOps & Automation Lab OR
- .Net FRAMEWORK Lab OR
- New Age Programming Languages Lab
- Natural language Processing Lab
- Summer Internship-II
- Arithmetic and Reasoning Skills
- Applied Programming and Problem-Solving Skills for Campus Interviews (Infosys Connect Program)
- Major Project/Industrial Training
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
Financial Assistance
K.R. Mangalam University partnered with the leading banks to help you to finance your dream course through Education Loan. You only have to start repaying one year after finishing your course or six months after you get a job.
Sponsored
MBA Degree
100% Sponsored MBA for Outstanding Undergraduates
KRMU takes pride in nurturing the leaders of tomorrow. To honor and encourage academic excellence, we offer a distinctive sponsorship scheme: Exceptional undergraduates have the opportunity to pursue an MBA at KRMU with 100% sponsorship. This initiative is our commitment to investing in the bright minds that have demonstrated remarkable academic achievements during their undergraduate studies.
Embark on an MBA journey without financial constraints and unlock your full potential. At KRMU, we provide more than just an education; we offer a pathway to excellence and success in the business world. Seize this opportunity to transform your academic prowess into a thriving career.
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