B.E. Computer Science and Engineering (Data Science)
Learn to turn raw data into actionable intelligence- from data analytics and big data engineering to predictive modelling, business intelligence, and machine learning. The B.E. CSE (Data Science) programme at AVIT combines strong computing fundamentals with modern data science tools, statistical reasoning, and AI-driven decision making.
PROGRAMME OVERVIEW
Engineering Insights from Data
B.E. CSE (Data Science) at AVIT empowers students to become data-driven innovators, analysts, and decision scientists in a world powered by information. The programme blends strong foundations in programming, statistics, and database systems with specialized expertise in data analytics, big data, predictive modelling, business intelligence, data visualization, and machine learning.
Through advanced laboratories, industry certifications, internships, hackathons, analytics challenges, research projects, and collaborations with leading technology partners, students gain real-world experience working with structured and unstructured data at scale. Supported by expert faculty, modern infrastructure, and a vibrant innovation ecosystem, AVIT prepares graduates for high-demand careers in data science, analytics, big data engineering, business intelligence, research, and entrepreneurship.
WHY CHOOSE B.E. CSE (DATA SCIENCE)?
Why Choose B.E. CSE (Data Science) at AVIT?
Build future-ready data skills through industry-integrated learning, hands-on analytics projects, advanced research opportunities, and career-focused education designed for the data-driven economy.
Future-Ready Data Curriculum
Learn programming, statistics, big data analytics, predictive modelling, business intelligence, data engineering, and machine learning through an industry-aligned curriculum built for the data economy.
Industry Partnerships & Certifications
Gain hands-on experience through collaborations with leading industry partners, analytics certification programs, internships, expert mentoring, and real-world data project-based learning.
Advanced Research & Analytics Labs
Access cutting-edge facilities including the Intel & NEC Lab, Apple Authorized Training Centre, AI Research Lab, IoT Research Lab, and Innovation & Entrepreneurship Centres for data-intensive work.
Big Data & Cloud Specializations
Choose specialized pathways in Big Data Engineering, Cloud Computing, and Quantum Computing, with a minor in Data Modeling Techniques to align with your career aspirations.
Research, Innovation & Entrepreneurship
Participate in funded research projects, patents, analytics hackathons, innovation challenges, startup incubation initiatives, and multidisciplinary data-driven development programs.
Career-Focused Learning
Prepare for high-demand careers as Data Scientists, Data Analysts, Business Intelligence Analysts, Data Engineers, Big Data Engineers, Analytics Consultants, Researchers, and Entrepreneurs.
WHAT YOU'LL STUDY
Your Four-Year Learning Journey
The programme is structured as a progressive learning experience- from programming and statistical foundations to advanced data science, analytics, and real-world data-driven applications.
YEAR 1
Programming & Data Foundations
Focus Areas
- C Programming
- Python Programming
- Statistical Foundations
- Mathematics for Data Science
- AI in Scientific Research & Education
- Communication Skills
- Design Thinking Foundations
- Emerging Trends in IT Infrastructure
- Idea Lab
Outcome: Develop programming, statistical reasoning, and data literacy skills.
YEAR 2
Data Management & Analytics
Focus Areas
- Data Structures
- Database Management Systems
- Probability & Statistics
- Data Visualization
- Data Processing Techniques
- Computer Systems Fundamentals
Outcome: Learn to collect, manage, clean, and analyze structured and unstructured data.
YEAR 3
Advanced Data Science & Analytics
Focus Areas
- Machine Learning
- Big Data Analytics
- Predictive Modeling
- Data Mining
- Business Analytics
- Cloud-Based Data Platforms
Outcome: Transform raw data into actionable insights using modern analytical and AI techniques.
YEAR 4
Data-Driven Innovation
Focus Areas
- Advanced Analytics Electives
- Industry Internship
- Research Projects
- Real-Time Data Applications
- Capstone Project
Outcome: Graduate as a data scientist capable of solving business, healthcare, finance, and societal challenges using data-driven approaches.
PATHWAY OPTIONS
Honors, Minors & Specializations
HONORS DEGREE
- Big Data Engineering
SPECIALIZATIONS
- Cloud Computing
- Quantum Computing
MINOR DEGREE OPTIONS
- Data Modeling Techniques
CAREER OUTCOMES: Data Scientist | Data Analyst | Business Intelligence Analyst | Data Engineer | Big Data Engineer | Analytics Consultant
PROGRAMME HIGHLIGHTS
What You'll Achieve with Us
Engineering Graduates will be able to:
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Function effectively as an individual, and as a member or leader in diverse / multidisciplinary teams.
Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences.
Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one's own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change.
Graduating Students of Computer Science and Engineering programme will be able to:
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PSO 1
Demonstrate understanding of the principles and working of the hardware and software aspects of computer systems.
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PSO 2
Understand, analyze and develop computer programs in the areas related to algorithms, system software, multimedia, web design, big data analytics and networking for efficient design of computer-based systems of varying complexity.
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PSO 3
Apply standard Software Engineering practices and strategies in software project development using open-source programming environment to deliver a quality product for business success and to be acquainted with the contemporary issues, latest trends in technological development and thereby innovate new ideas and solutions to existing problems.
Implement fundamental domain knowledge of core courses for developing effective computing solutions by incorporating creativity and logical reasoning.
Graduate will establish effective professionals by solving real world problems using investigative and analytical skills along with the knowledge acquired in the field of Computer Science and Engineering.
Graduate will prove ability to work and communicate effectively as a team member and/or leader to complete the task with minimal resources, meeting deadlines.
Graduate will demonstrate his/her ability to adapt to rapidly changing environment in advanced areas of Computer Science and scale new heights in their profession through lifelong learning.
DR. M. NITHYA PROFESSOR & HOD, DEPARTMENT OF CSE, VMKV ENGINEERING COLLEGE, SALEM
DR. V. AMIRTHALINGAM PROFESSOR, VMKV ENGINEERING COLLEGE, SALEM
DR. S. SENTHILKUMAR PROFESSOR, VMKV ENGINEERING COLLEGE, SALEM
DR. S. BALAKRISHNAN, PROFESSOR & HOD, ARUPADAI VEEDU INSTITUTE OF TECHNOLOGY, PAIYANOOR
DR. MUTHUKUMARAN M PROFESSOR, ARUPADAI VEEDU INSTITUTE OF TECHNOLOGY, PAIYANOOR
DR. K. RAMU PROFESSOR, ARUPADAI VEEDU INSTITUTE OF TECHNOLOGY, PAIYANOOR
DR. M. RAJESH ASSOCIATE PROFESSOR DEPARTMENT OF CSE, ARUPADAI VEEDU INSTITUTE OF TECHNOLOGY, PAIYANOOR
DR. S. RAJANARAYANAN ASSOCIATE PROFESSOR, DEPARTMENT OF CSE, VMKV ENGINEERING COLLEGE, SALEM
DR. R. SHOBANA ASSISTANT PROFESSOR (GRADE II), DEPARTMENT OF CSE, AARUPADAI VEEDU INSTITUTE OF TECHNOLOGY, PAIYANOOR
MR. S. LOGANATHAN ASSISTANT PROFESSOR DEPARTMENT OF CSE, VMKV ENGINEERING COLLEGE, SALEM
DR. N. RADHIKA PROFESSOR, DEPARTMENT OF CSE, AMRITA SCHOOL OF COMPUTING, AMRITA VISHWA VIDYAPEETHAM COIMBATORE - 641 112
DR. USHA BATRA PROFESSOR, DEPARTMENT OF CSE, DEAN CORPORATE RELATIONS AND ENGAGEMENT SHRI VISHWAKARMA SKILL UNIVERSITY, HARYANA (STATE GOVERNMENT UNIVERSITY)
CAREER OPPORTUNITIES
Where Will Your Degree Take You?
From Data Science and Analytics to Big Data Engineering, Business Intelligence, Cloud Data Platforms, Research, and Entrepreneurship, an AVIT B.E. CSE (Data Science) degree opens pathways to some of the world's fastest-growing and highest-paying careers.
Data Scientist
Transform data into actionable insights through analytics, machine learning, statistical modelling, and decision intelligence used across industries.
Data Analyst
Explore, clean, and interpret data to uncover trends, build dashboards, and deliver data-driven recommendations that guide business decisions.
Business Intelligence Analyst
Design BI dashboards and reporting systems that turn enterprise data into clear, strategic insights for decision-makers.
Data Engineer
Build and maintain scalable data pipelines, warehouses, and architectures that power analytics and machine learning at scale.
Big Data Engineer
Engineer distributed systems and big data platforms to process massive volumes of structured and unstructured data in real time.
Analytics Consultant
Advise organizations on analytics strategy, predictive modelling, and data-driven innovation to solve business and societal challenges.
LABORATORIES & FACILITIES
Learn in Industry-Grade Labs
IoT Research Lab
i5 Processor systems
AI Research Lab
i5 Processor systems
Apple Authorised Training Centre
Apple-certified environment
Networking Lab
Mixed fleet i5, i3, Dual Core
INTERNSHIPS
Build Your Future with Industry-Integrated Internship Programs
At AVIT, internships connect classroom learning with real-world industry exposure.
Assured Internship via VEmerge+
Assured Internship & Placement, 7+7 Certifications, Capstone Project
HCLTech Industry Project cum Internship
Industry-ready project, NCVET certificate, Placement Assistance
XTIC XR Technology Internship
Internship & Placement Support, AR/VR/XR projects, Capstone Project
UC Berkeley / Intel Fice
UC Berkeley Micro Accelerator Program
Real-world problems, group projects, enhanced technical skills
RELATED PROGRAMMES
Explore Other Academic Opportunities
Beyond B.E. CSE (Data Science), AVIT offers the core CSE programme along with specialised pathways in AI & ML and Cyber Security- each designed for high-demand technology careers.
FREQUENTLY ASKED QUESTIONS
Common Questions About B.E. CSE (Data Science)
AVIT's Data Science programme combines an industry-aligned curriculum, hands-on analytics projects, advanced laboratories, internships, certifications, research opportunities, hackathons, and strong placement support to prepare students for successful data-driven careers.
Students master programming, statistics, data structures, database systems, data visualization, big data analytics, predictive modelling, data mining, business analytics, machine learning, and cloud-based data platforms.
Students benefit from collaborations with Intel, NEC, HCLTech, and XTIC (IIT Madras), along with analytics certifications, internships, industry projects, expert talks, and hands-on data-driven learning experiences.
Graduates can pursue careers as Data Scientists, Data Analysts, Business Intelligence Analysts, Data Engineers, Big Data Engineers, Analytics Consultants, Researchers, and Entrepreneurs.
Yes. Students actively participate in internships, national and international hackathons, analytics challenges, research projects, patent development, innovation challenges, and startup incubation programs.
The department provides access to the Intel Unnati & NEC Lab, Apple Authorized Training Centre, AI Research Lab, IoT Lab, Networking Lab, advanced computing facilities, and innovation-focused learning spaces for data-intensive work.
Yes. Students can pursue an Honors Degree in Big Data Engineering, specializations in Cloud Computing and Quantum Computing, and a Minor in Data Modeling Techniques based on curriculum regulations.
AVIT offers placement training, aptitude preparation, analytics and coding practice, mock interviews, industry mentoring, internships, and recruitment opportunities with leading product and service-based companies.
Absolutely. The programme prepares students for higher education, research careers, postgraduate studies, and doctoral programmes in data science and allied fields in India and abroad.
Students can apply through the AVIT admissions portal or contact the admissions office for guidance on eligibility, application procedures, scholarships, and programme selection.
ADMISSIONS OPEN
Ready to Build the Future with Data?
The world runs on data- and the demand for skilled data scientists and analysts has never been greater. The B.E. CSE (Data Science) programme at AVIT provides the foundation, industry exposure, and technical depth you need to build a lasting career in data science and analytics.