Bachelor of Science - Artificial Intelligence & Data Science
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 – Artificial Intelligence & Data Science program is all about blending the power of Data Analytics with fundamental computer science principles. It’s geared towards equipping students to thrive in the realm of Data Science by teaching them to apply mathematical models and engineering principles to tackle real-world problems. In today’s data-driven world, organizations rely heavily on making decisions based on data, and this program prepares students to meet that demand head-on. The curriculum is carefully crafted to introduce students to essential skills like Programming for Data Science and Predictive Analytics.
Educational
Objectives
Develop a solid understanding of fundamental concepts in mathematics, statistics, and computer science that underpin data science, such as linear algebra, probability theory, and algorithms. Learn techniques for collecting, cleaning, and preprocessing data, as well as methods for exploratory data analysis to derive insights and identify patterns. Gain domain-specific knowledge in areas where data science is applied, such as finance, healthcare, marketing, or environmental science, to better understand the context and requirements of data-driven solutions. Cultivate a mindset of lifelong learning and adaptability to keep up with evolving technologies, tools, and methodologies in the rapidly changing field of data science. 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,
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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
Technology Sectors Software Engineers, Developers, and Analysts Government and Public Sector Finance Service Sectors Healthcare Retails E-commerce Telecommunications Energy and Utilities Sectors Education/Research Career Options
Data Scientist
Machine Learning Engineer
AI
Research Scientist
Data Analyst
Quantitative Analyst (Quant)
Business Intelligence Analyst
Data Engineer
AI Ethics Specialist
AI Product Manager
Machine Learning
Data Scientist/ML Instructor
AI/DS Entrepreneur
AI/DS Specialist in Healthcare, Finance, Retail, etc
Student Outcomes
Students will gain a solid understanding of foundational concepts in AI and DS, Proficiency in programming languages commonly used in machine learning Students will learn how to collect, clean, preprocess, and analyze data using a variety of techniques and tools, including data wrangling, data visualization, and exploratory data analysis. Students will have opportunities to apply AI and DS techniques to real-world problems and datasets through hands-on projects, case studies, and industry collaborations Students will be prepared for lifelong learning in the rapidly evolving fields of AI and DS, with the ability to stay updated on the latest developments, trends, and techniques through self-study, professional development, and continuing education.Overall, the goal of an AI and DS course is to equip students with the knowledge, skills, and mindset needed to succeed in careers that require expertise in data-driven decision-making, machine learning, and artificial intelligence.
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
Data science is indispensable in today’s data-driven world, empowering organizations across industries to extract value from data, drive innovation, and make smarter decisions to stay competitive and achieve their goals.
It is with great excitement and optimism that I reach out to you today to reaffirm our department’s commitment to excellence in the fields of Artificial Intelligence (AI) and Data Science (DS). As we navigate the ever-expanding frontiers of technology, it is imperative that we equip our students with the knowledge, skills, and mindset needed to thrive in this dynamic landscape.
Our department stands at the forefront of innovation, poised to lead the charge in AI and DS education. Through rigorous curriculum development and experiential learning opportunities. We are dedicated to providing our students with a transformative educational experience that prepares them to excel in their chosen careers.
We are deeply committed to fostering a culture of collaboration, creativity, and inclusivity. Together, we will harness the collective expertise of our faculty and staff to deliver world-class education that inspires curiosity, cultivates critical thinking, and instills a passion for lifelong learning.
Let us seize this moment to push the boundaries of knowledge and explore new frontiers in AI and DS, unlocking insights that have the power to shape the future of our world.
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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