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B.Tech Data Science & Engineering

Key Facts & Figures

Type

Bachelors

Degree

B.Tech Data Science & Engineering

Eligibility

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Semester Fee

67,500

Mode of study

Full-time

Medium of Instruction

English

Credit Points

160

Location

DAV University Campus

Start date

July-August

Examination fee: RS. 3000/- for each semester and is applicable to all courses).

Refundable Caution Money: Rs 5000/- in 1st Semester and is applicable to all courses.

One-time Alumni Registration Charges Rs. 2000/- ( Non - Refundable to be charged from every student in 1st year only

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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