B.Tech in Artificial Intelligence and Data Science (Specialization : Transportation and Logistics)

LEARNING EXPERIENCE AT GSV

Experiential
Flexible
Interdisciplinary
Holistic
Rigorous

Unique Features

Tailor made curriculum based on the industryinputs (e.g. IBM).
Artificial intelligence and machine learning usecases deployed in transportation domain.
Elective courses imparting Industry relevantskills, supplemented by internships.
IT infrastructure enabling curriculum outcomes.

CURRICULUM

FOUNDATION COURSES

Calculus and Linear Algebra
Engineering Physics
Environmental Science and Sustainability
Introduction to Mechanical and Civil Engineering
Workshop Practices Lab
Computer Programming – I (Python)
Introduction to Rail Systems Engineering
Health, Wellness and Yoga
Differential Equations and Transforms
Engineering Chemistry
Design Thinking
Engineering Mechanics
Introduction to Electrical and Electronics Engineering
Computer Programming – II (C Language)

Admission process

ELIGIBILITY

Admissions to the Bachelor of Technology (B.Tech) Programmes are through JOSAA /CSAB (Joint Seat Allocation Authority/Central Seat Allocation Board). For details visit JOSAA/CASB websites- https://josaa.nic.in/ or https://csab.nic.in/

ENTRANCE

JEE (Main) 2024

FEE

Rs. 1,53,100/-, To know complete fee breakup click here

LEARNING EXPERIENCE AT GSV

The program incorporates the latest technologies in the domain of ArtificialIntelligence & Data Science. The program will enable the student forvarious career aspects such as Data Scientist, Business Analyst, Researcherto tackle real-life problems in the field of Machine learning, Statistics,knowledge discovery, and data visualization. Graduates will be able tohandle various challenging problems in logistics and transportation such as network optimization, traffic monitoring and control, predictive asset management, IoT enabled warehouse management etc.

CURRICULUM

FOUNDATION COURSES

Calculus and Linear Algebra
Engineering Physics
Environmental Science and Sustainability
Introduction to Mechanical and Civil Engineering
Workshop Practices Lab
Computer Programming – I (Python)
Introduction to Rail Systems Engineering
Health, Wellness and Yoga
Differential Equations and Transforms
Engineering Chemistry
Design Thinking
Engineering Mechanics
Introduction to Electrical and Electronics Engineering
Computer Programming – II (C Language)