B.Tech

CSE with specialization in Artificial Intelligence and Machine Learning | Xebia

  • OVERVIEW
  • PROGRAMME DETAILS
  • ELIGIBILITY & FEES
  • GALLERY
  • ACHIEVEMENT

Sandip University collaborates with Xebia IT Architects, India to help students attain a world-class and industry-relevant education in AI and Machine Learning. A B.Tech in Artificial Intelligence & Machine Learning at Sandip University comprises of the core concepts of Machine Learning along with the fundamentals of Artificial Intelligence. It enables students to provide solutions to scientific, technological, and complex real world problems. This program aims to teach students the essential concepts of artificial intelligence, knowledge representation, intelligent agents, natural language processing, machine learning, cognitive modelling and applications of artificial intelligence in Block chain and other technologies. It also enables students to obtain programming skills, mathematical reasoning skills, and communication skills.

About Xebia IT Architects, India

Xebia's Academic Alliance Program offers institutions an open curriculum-based education applicable to any vendor environment, empowering students to develop highly marketable knowledge and skills required. The program offers new-age technology courses for engineering students in Artificial Intelligence and Machine Learning. They believe that industry aligned programs can not only address the employability issue of today’s educated youth, but also enormously bridge the industry-academia gap.,

Key Features of the Program:

  • A research-driven innovative curriculum
  • Student engagement and development will be enabled via Hackathons, Webinars, Professional Networking, Internships, Tech Talks, etc.
  • Excellent classrooms with well-equipped labs for student’s development are offered by Sandip University
  • Industry orientation through guest lectures, live projects, and corporate interactions
  • Industry-recognized credentials and Xebia endorsed certification with digital badges for each student
  • Career opportunities for students and placement support within Xebia and its client network
  • Students will receive 100% placement assistance from Sandip University
  • Xebia will participate with Sandip University in road shows
  • Student-parent counselling will be held during the Admission Cycle

Careers & Placements:

Artificial Intelligence (AI) as a term has been around since 1955. Analysts have predicted AI to become a $46 billion market by 2020. Government of India has appointed a task force to boost the AI sector in India, for developing AI technologies, to data usage and research to work with the private sector and develop technologies, with a focus on smart cities, power and water infrastructure, crop management to fighting terrorism. The government plans to deploy AI in 10 sectors in India. Therefore, ample career opportunities exist in private companies, public organisations, education, government institutions, and the healthcare industry. Additionally, top IT companies are looking at aggressively hiring Engineers specialising in Artificial Intelligence & Machine Learning. After specialisation in AI and Machine Learning students can explore job profiles like

  • Machine Learning Engineer
  • Data Scientist in Machine Learning
  • Research Engineer in Artificial Intelligence
  • Big Data & AI Architect
  • Big Data & AI Consultant
  • Robotics Professional

Companies in India that hire professionals holding a B.Tech in Computer Science & Engineering specialization in AI & Machine Learning:

  • Atkins
  • Accenture
  • Bosch Group
  • Microsoft
  • Amazon
  • Intel Technology
  • Reliance Jio
  • Google
If you wish to pursue this programme or have any further queries, please call Sandip University’s toll-free number 1800-212-2714.
If you wish to pursue this programme or have any further queries, Click On 1800-212-2714
  • Course Structure
  • Lab Facility
  • Events
  • Faculty

Course Structure:

Mathematics for Intelligent System –I Applied Science
Differential Calculus Engineering Graphics
Foundation of Artificial Intelligence & Machine Learning Environmental Studies (MOOC, SWAYAM)
Workshop Practice
Mathematics for Intelligent System II Programming and Problem Solving Concepts
Engineering Mechanics Introduction to C computing and Programming languages
Fundamentals of Electrical and Electronics Engineering Introduction to Python
Technical Communication (HSS) (MOOC)
Discrete Mathematics and Logic Digital Design and Computer Organization
Object Oriented Programming Data Structures
Supervised Learning Object Oriented Programming Lab
Data Structure Lab Supervised Learning Lab
Industry Internship
Statistical Analysis Object Oriented Programming in Java
Database Management System Unsupervised Learning and Neural Network
Fuzzy Logic Object Oriented Programming in Java Lab
Database Management System Lab Unsupervised Learning and Neural Network lab
English Communication and Soft Skill Foreign Language (French I / German I)
Formal Languages and Automata Theory Operating System
Advanced Neural Network & Deep Learning Natural Language Processing
Computer Networks Advanced Neural Network Lab
Natural Language Processing Lab Industry Internship II
Employability Skill Audit Course – I
Design and Analysis of Algorithm Software Engineering and Project Management
Search Algorithms Computer Vision & Image Processing
Open Elective I Search Algorithms Lab
Computer Vision & Image Processing Lab Seminars
Professional skill Audit Course – II
Object Oriented Analysis and Design AI Using Robotics
Applications Designing Using Python Open Elective II
AI Using Robotics Lab Applications Designing Using Python Lab
Project Stage – I Internship III
Audit Course-III
Program Elective I Program Elective II
Program Elective III Dissertation Stage - II
Open Elective I
Web Technology E-Commerce
Business Intelligence Data Mining
Open Elective II
Cloud Computing and Virtualization Cyber Laws
Introduction to Intellectual Property to Engineers and Technologists Advanced Computer Network
Program Elective I
Advance Software Engineering Software Project Management
Grid and Cluster Computing Machine Learning
Program Elective II
Neural Networks Soft Computing
Mobile Computing Ubiquitous Computing
Program Elective III
Information Storage and Retrieval Distributes System
Advanced Databases Embedded and Real Time Operating System

CIA:Continuous Internal Assessment

L:Theory Lecture

T:Tutorial

P:Practical

TH:Theory Exam.

#:Internship for 15 Days.

*:Oral Examination

UC:University Core

PC:Programme Core

PE:Programme Elective

CIA

Weightage

Description

CIA 1

10%

Home Assignment

CIA 2

20%

Mid-Term Exam(MTE)

CIA 3

10%

Seminar Presentation

CIA 4

10%

Research Based
Activity

TOTAL

50%

 

Lab Facility:


Faculty:

ELIGIBILITY & FEES STRUCTURE:

Programme Sem Year Mode Eligibility Academic Fees
Per Year (INR)
Special Fees
(Incl. Library Fee & Examination Fees)
Per Year (INR)
Fees Per Year

SCHOOL OF COMPUTER SCIENCES & ENGINEERING (UG)

B. Tech CSE with specialization in Artificial Intelligence and Machine Learning | Xebia 8 4 Sem Passed 10+2 examination with Physics/ Mathematics / Chemistry/ Computer Science/Electronics/Information Technology/ Biology/Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/Entrepreneurship.(Any of the three) Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together.
OR
Passed min. 3 years Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) subject to vacancies in the First Year, in case the vacancies at lateral entry are exhausted. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to achieve desired learning outcomes of the programme)
OR
Obtained score in SU JEE 2021 / MH-CET/ JEE Main conducted by the Competent Authority.
Rs 1,20,000/- Rs 10,000 /- Rs 1,30,000/-

SCHOOL OF COMPUTER SCIENCES & ENGINEERING (UG-LATERAL ENTRY)

B.Tech. Artificial Intelligence & Machine Learning | Xebia 6 3 Sem Passed Minimum THREE years / TWO years (Lateral Entry) Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) in ANY branch of Engineering and Technology.
OR
Passed B.Sc. Degree from a recognized University as defined by UGC, with at least 45% marks (40% marks in case of candidates belonging to reserved category) and passed 10+2 examination with Mathematics as a subject.
OR
Passed D.Voc. Stream in the same or allied sector. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to achieve desired learning outcomes of the programme)
Rs 1,20,000/- Rs 10,000 /- Rs 1,30,000/-
Note:
  • Admission Form and Prospectus Rs. 1000/- (One Time).
  • Caution Money Rs.1000 (Refundable)
  • Hostel Fees Rs. 90,000/- per annum (Deposit Rs 5, 000 at the time of Admission Only on Refundable basis)
  • Transportation Fees as applicable based on Route and Pick Up Point.
  • Uniform cost Rs. 5500/-

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