Bachelor of Science in Artificial Intelligence & Machine Learning
Overview
Bachelor of Science program imparts in-depth knowledge of computer science theory and programming practice sessions by offering various courses like Computer Networks, Operating Systems, Data Structure, Programming in C, Computational Thinking, fundamental of Machine Learning. The Bachelor of Science program offers two specializations: 1. Bachelor of Science in Artificial Intelligence & Machine Learning 2. Bachelor of Science in Artificial Intelligence & Data Science
Bachelor of Science in Artificial Intelligence & Machine Learning in this program, students will learn how to harness the power of data to drive business success. They will explore topics like data analysis, predictive modeling, and algorithm development, gaining practical skills that can revolutionize how businesses operate in today’s data-driven world.
This program focuses on cutting-edge technologies like deep learning, computer vision, data analysis and neural networks. It’s designed to train students in building intelligent machines, understanding human language, and applying these skills in real-world systems.
Educational
Objectives
Graduates should possess strong analytical and critical thinking skills to identify, formulate, and solve complex problems using machine learning methods, contributing to the development of innovative solutions. Graduates should progress in their careers by assuming positions of increasing responsibility and leadership in industry, academia, or research institutions, contributing to the advancement of the field of machine learning and its applications. Graduates should effectively communicate technical concepts, methodologies, and findings to diverse audiences, including non-technical stakeholders, through written reports, presentations, and demonstrations. Graduates should understand the global impact of machine learning technologies and be prepared to work in multicultural environments, contributing to the development of solutions that address global challenges and opportunities.To fulfill these objectives MARWADI UNIVERSITY – the Best Computer Science – AI-ML College in Rajkot has well-equipped labs with state-of-the-art infrastructure, digital workstations with the latest configurations and required software. Data Structures Lab, C Programming Lab, Internet Lab, Computer Networking Lab, Project Lab are some of the key places that impart practical knowledge and technical skill to the students.
Eligibility Criteria
| For Indian and International Students | ||
|---|---|---|
| The candidate must have passed the qualifying Class-XII Science (Physics, Chemistry and Mathematics / Biology) or Commerce stream examination. Equivalent Qualification is required for international students. |
Admission Process
Once you generate the PIN from bank through online or offline process,
Register yourself on
Fill the Application Details
Choice Filling
(1, 2, 3..)
You’re on the path to DISCOVER yourself
Reporting at College
Actual Admission and Token Fee Payment
Admission Process
Once you generate the PIN from bank through online or offline process,
yourself on
Application
Details
Filling
Rounds
(1, 2, 3..)
Admission
and Token
Fee Payment
College
path to DISCOVER
yourself
Fee structure
| For Indian Student (INR) | ||
|---|---|---|
| Computer Engineering | 4 Years | 62500/- (Per Sem) |
| For International Student (USD) | ||
|---|---|---|
| Computer Engineering | 4 Years | 1800/- (Annual) |
Curriculum
| Bachelor of Science – AI & ML / AI & DS , Year I, Sem I | Evaluation Scheme | ||||||||||||
| Subject Code | Subject Name | Category | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | ||||||
| Theory | Tutorial | Practical | ESE (E) | IA | CSE | Viva (V) | Term work(TW) | ||||||
| 01AL0101 | Mathematical Fundamentals for Computer Science | BSC | 3 | 2 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01EE1101 | Fundamentals of Electronics | ESC | 4 | 0 | 2 | 5 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01CE1101 | Computer Programming | ESC | 4 | 0 | 2 | 5 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01AS0101 | Data Analysis & Visualization using spreadsheets | PCC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01CR1102 | Value Education | MC | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 50 | 100 | |
| 01CE1102 | Computer Workshop | LC | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 25 | 25 | 50 | |
| 01GS0103 | Indian constitution | MC | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| 01CR0105 | Verbal Ability – 1 | MC | 1 | 0 | 0 | 0 | 50 | 0 | 0 | 0 | 50 | 100 | |
| Total | 18 | 2 | 8 | 20 | 250 | 120 | 80 | 175 | 225 | 850 | |||
| Bachelor of Science – AI & ML / AI & DS , Year I, Sem II | Evaluation Scheme | ||||||||||||
| Subject Code | Subject Name | Category | Teaching Scheme (Hours) | Credits | Theory Marks | Tutorial/ Practical Marks | Total Marks | ||||||
| Theory | Tutorial | Practical | ESE (E) | IA | CSE | Viva (V) | Term work(TW) | ||||||
| 01AS0102 | Mathematics for Data Science | BSC | 4 | 0 | 2 | 5 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01AI0103 | Object Oriented Design and Programming | PCC | 4 | 0 | 2 | 5 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01AS0103 | Statistics for Data Science | ESC | 4 | 2 | 0 | 5 | 50 | 30 | 20 | 25 | 25 | 150 | |
| 01AL0102 | Introduction to Artificial Intelligence | BSC | 3 | 0 | 0 | 3 | 50 | 30 | 20 | 0 | 0 | 100 | |
| 01SL0102 / 01SL0103 | Reading and Writing for Technology / Speaking and Presentation Skills | HSMC | 2 | 0 | 0 | 2 | 0 | 30 | 20 | 25 | 25 | 100 | |
| 01EN1101 | Basics of Environmental Studies | MC | 2 | 0 | 0 | 0 | 50 | 30 | 20 | 0 | 0 | 100 | |
| 01CR0104 | Professional Ethics | MC | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 50 | 100 | |
| 01CR0106 | Verbal Ability – 2 | MC | 1 | 0 | 0 | 0 | 50 | 0 | 0 | 0 | 50 | 100 | |
| Total | 21 | 2 | 4 | 20 | 300 | 180 | 120 | 150 | 200 | 950 | |||
Career Opportunities
Private and Public organizations Education, both primary and advanced Advanced Healthcare facilities Government agencies Government Committees related to Research Military Software Engineers, Developers, and Analysts Research Scientists Manufacturing and Maintenance Engineers Surgical Technicians Computational Philosopher Robot Personality Designer Robot Obedience Trainer Career Options
Machine Learning Engineer
AI Research Scientist
AI/ML
Software Engineer
AI Ethics and Bias Specialist
AI Product Manager
Consultant/
Advisor
AI Entrepreneur/
Startup Founder
Academic/
Researcher
Student Outcomes
The outcomes for students in a machine learning course based on the depth and breadth of the curriculum, students’ experience, and the teaching methods employed at our university are:
Students should be able to apply machine learning algorithms to real-world datasets, including data preprocessing, feature engineering, model selection, and hyper parameter tuning. Proficiency in programming languages commonly used in machine learning Experience with implementing machine learning projects from start to finish, including data collection, preprocessing, model building, evaluation, and deployment and to communicate machine learning concepts, methodologies, and results to both technical and non-technical audiences through presentations, reports, and visualizations. A foundation for further exploration and learning in advanced machine learning topics such as deep learning, reinforcement learning, natural language processing, and computer vision. Facilities
Lab
Oracle Lab
Jetson Nano Technology CISCO Lab
IBM Lab Research & Development Lab Basic Computing Lab Robotics Lab
Computing Lab
Networking Lab Data Processing Lab Object-Oriented Programming Lab High-Performance Computing Lab Software Engineering Lab Project Lab
Library
There are two main libraries which make up the MU Learning Resource Centre. Specialist collections, use of up-to-date technology, and a team of enthusiastic and dedicated staff all combined to form a library which serves the Users of the Marwadi Education as well as contributes towards the research needs of the Institution, and is one of the best ICT-equipped academic libraries in the region. Fully equipped with RFID (Radio Frequency Identification Device) Technology Specially devised and designed Self KIOSK for Self Check in & Check out
E-Resource Lab having 60+ computer systems with latest configuration to assist for online research and resources Specially devised and designed Mobile Application having features of; Intimation, Alerts, History, Account Status and Books search facilities Connected with other libraries and resource centers to retrieve information resources worldwide Separate Study rooms and discussion rooms Additional Transportation facility for special Late Evening & Sunday for Library users More than 50000 books in the library
Scholarship
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Campus Facilities
Impressive Infrastructure
IT Enabled Infrastructure
Sports Infrastructure
State-of-the-art Classrooms
Hostels with Gymnasium
Library with 50000+ Books
Academic & Cultural Events
HOD's Message
Program Head, Bachelor of Science AI&ML, AI&DS
Department’s commitment for the advancement of AI and ML education ensures that our students receive the knowledge and skills they need to thrive in this rapidly changing environment. With the increasing demand for professionals well-versed in AI and ML techniques, it is our responsibility to equip our students with the tools and expertise necessary to succeed in the digital age.
We are dedicated to foster an environment of excellence, innovation, and inclusivity. Together, we work to develop and deliver cutting-edge curriculum that reflects the latest advancements in AI and ML, providing our students with hands-on experience and real-world applications. We are committed to leverage our collective expertise to tackle complex challenges and drive innovation in AI and ML research and education.
I am excited about the opportunities that lie ahead for our department, and I look forward to working with each of you to elevate our programs and make a meaningful impact in the field of AI and ML.
Our Recruiters
Successful
Alumni
Faculties
Awards & Recognition
Manish Parajapati, Vatsal Dharek, Jeet Ardeshna, Chetan Majithia, Bhumi Garach, and Mo. Ayaz Arbi received a prize money of Rs. 50,000/- in “Smart India Hackathon – 2018” at C V Raman College of Engineering, Bhubaneshwar.
Jayna Tahnki, Pooja Ribadiy, Taslim Sama, Harsh Bakori, Arzaan Mogal, and Mohammad Nadib Hasan received a prize money of Rs. 1,00,000/- (1 Lakh) in “Smart India Hackathon – 2019” at The Girijananda Chowdhury Institute of Management and Technology (GIMT), Guwahati.
At Marwadi University, international academic cooperation is one of the tools to best serve the above purpose of convergence of knowledge, skills and culture in global context. The Marwadi University has many collaborative activities for research, faculty exchange, student exchange programs with foreign universities. Computer Department students have taken benefits with foreign universities like Technical University of Kaiserslautern aka TU-Kaiserslautern GERMANY, University of Pitesti Romania, Lodz University of Technology Poland.
FAQ
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https://www.marwadiuniversity.ac.in/student-loan/
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https://www.marwadiuniversity.ac.in/student-loan/
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