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B.Tech Data Science & Engineering
Key Facts & Figures
Type
Bachelors
Degree
B.Tech Data Science & Engineering
Eligibility
Semester Fee
67,500
Mode of study
Full-time
Medium of Instruction
English
Credit Points
160
Location
DAV University Campus
Start date
July-August

B.Tech. Data Science and Engineering at DAV University: Transform Your Future

B.Tech Data Science & Engineering

The B.Tech. Data Science and Engineering programme at DAV University is designed to equip students with the knowledge and skills required to harness the potential of big data and analytics. Through a comprehensive curriculum that blends theory with practical application, students gain a deep understanding of data science principles, techniques, and tools.

Eligibility

Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry /Biotechnology/Biology/Technical Vocational subject. An applicant should have secured at least 45% marks (40% marks in case of candidate belonging to SC/ST) in the above subjects taken together.

Why Data Science & Engineering?

Potential for employment: Data science is a popular and rewarding field. Pursuing a B.Tech. degree in data science opens up numerous job opportunities with high earning potential. Businesses seek data scientists who can help them gain insights from big data, which is expected to drive future company success.

High-paying jobs: Data scientists are in demand, and those with this degree can earn some of the top salaries in the industry. They can earn over twice the income of the average worker, making it a profitable career choice in today's job market.

Data scientists are in high demand: due to the vast amount of data generated today. They use techniques like statistics, machine learning, and programming to analyze data and extract insights. Pursuing a bachelor's degree in data science will equip you with the skills to succeed in this field.

A bachelor's degree in data science provides diverse and promising employment prospects, which include:

  • Data Analyst: Analyze large datasets to identify trends and generate comprehensive reports and presentations.
  • Business Analyst: Translate data into valuable insights, develop dashboards, and create visual representations to track progress toward business goals.
  • Data Scientist: Extract and understand valuable information from vast amounts of data and develop precise algorithms and models for accurate data analysis.
During Your Study

Our B.Tech. Data Science and Engineering programme at DAV University offers a balanced blend of theory and practice:

Comprehensive Curriculum: Covering mathematics, statistics, computer science, and advanced topics like machine learning and big data analytics.

Hands-on Projects: Students work on real-world problems, honing their skills in data analysis, modeling, and solution development.

Industry Interaction: Guest lectures, workshops, and visits connect students with industry trends and opportunities.

Research Opportunities: Students can engage in research projects under faculty guidance, exploring emerging areas in data science.

Personal and Professional Development: Besides academics, we focus on leadership, communication, and career readiness.

Extracurricular Activities: Sports, cultural events, and community service promote holistic development.

Support Services: From academic advising to career guidance, we offer comprehensive support for student success.

Carrer Opportunities

Graduates of the B.Tech. Data Science and Engineering programme are equipped with the skills to pursue a wide range of career paths in industries such as finance, healthcare, e-commerce, technology, and more. Some of the roles they can explore include:

  • Data Scientist
  • Data Engineer
  • Machine Learning Engineer
  • Business Analyst
  • Data Analyst
  • Big Data Engineer
  • Artificial Intelligence Specialist
Courses
Semester I
  • Engineering Mathematics-I
  • Engineering Physics
  • Basic Electrical Engineering
  • Electrical Engineering Laboratory
  • Engineering Graphics and Design
  • Design Thinking and Idea Lab
  • Human Values and Ethics
  • Cambridge English-I
Semester II
  • Chemistry
  • Programming for Problem Solving
  • Programming for Problem Solving Laboratory
  • Cambridge English-II
  • Environment Studies
  • Engineering Mathematics-II
  • Manufacturing Practice
Semester-III
  • Object oriented programming
  • Introduction to data science
  • Data structures
  • Digital electronics
  • Discrete mathematics
  • Community engagement course
Semester-IV
  • Data communication and networking
  • Operating system concepts
  • Database management system
  • Programming essentials in Python
  • Data analysis using MS-Excel and SPSS
Semester-V
  • Cryptography and network security
  • Data mining & warehousing
  • Statistical foundations
  • Algorithm design & analysis
  • Computer graphics
  • Industrial training
Semester-VI
  • Theory of computation
  • Big data analytics
  • Digital image processing
  • Data wrangling
  • Machine learning
  • Program elective-I
Semester-VII
  • Natural language processing with deep learning
  • Computer vision & data visualization
  • Time series analysis and forecasting
  • Open elective-I
  • Industrial training report & viva-voce
  • Major project
Semester-VIII
  • Information Security
  • Data Dashboards and Storytelling
  • Optimization Techniques
  • Program Elective-II
  • Open Elective-II
PROGRAM ELECTIVE-I
  • Software Project Management
  • New Age Technologies
  • Cognitive Computing
  • R for Data Science
  • MOOC Courses
PROGRAM ELECTIVE-II
  • Virtual & Augmented Reality
  • Web Programming
  • Fundamentals of Blockchain
  • Business Intelligence
  • MOOC Courses

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