Immerse Yourself in Foundational AI with ÐÓ°ÉÔ´´ Tech’s Artificial Intelligence Bachelor's Degree
Artificial intelligence tools are quickly being adopted by businesses in all fields to increase productivity. Master the technical and foundational concepts in AI and understand its interdisciplinary nature to build the tools of the future that will help businesses grow and expand with ÐÓ°ÉÔ´´ Tech’s B.S. in Artificial Intelligence. Prepare to enter a career or conduct research in artificial intelligence, data science, data analytics, or other computer science areas as a student at ÐÓ°ÉÔ´´ Tech Mumbai.
Program Overview
Build a firm technical foundation in artificial intelligence through introductory courses in programming, computer science, mathematics, and statistics as part of ÐÓ°ÉÔ´´ Tech's B.S. in Artificial Intelligence. Using those foundational skills, explore core AI concepts and techniques through hands-on competitions and real-world projects as you prepare to become an in-demand professional in a rapidly growing field.
Career Opportunities
Students who complete the B.S. in Artificial Intelligence program have a multitude of career paths available to them, including:
- AI/machine learning engineer
- AI/machine learning practitioner
- Data analyst
Gain career-ready experience through Elevate, our unique initiative that guarantees access to internships, research, mentorship, and hands-on learning. Industry partnerships with Jio Creative Labs, Godrej & Boyce, Tata Group, AWS, and other employers bring real-world exposure and career opportunities into your studies.
Curriculum
Here are just three of our most popular courses in artificial intelligence:
CS 480 Introduction to Artificial Intelligence This course serves as an introduction to computational methods for intelligent control of autonomous agents and the use of programming paradigms that support the development of flexible and reactive systems. You will explore topics such as heuristic search, knowledge representation, constraint satisfaction, probabilistic reasoning, decision-theoretic control, and sensor interpretation.
CS 481 Artificial Intelligence Language Understanding Explore the theory and programming paradigms that enable systems to understand human language texts and extract useful information and knowledge in this course, including the extraction of structured event representations from news stories or discovering new research hypotheses by analyzing thousands of research articles. You will also explore a variety of text analysis and text mining methods, with an emphasis on building working systems.
CS 484 Introduction to Machine Learning You will learn to build a foundation in machine-learning concepts and algorithms through this course, including classification, clustering, and regression; k-means clustering; nearest neighbors classification; decision trees; naive Bayes; logistic regression; support vector machines; and neural networks. The focus of the course is on the practical aspects of machine learning, including data preparation, experimental design, and modern tools for building machine learning systems.
Sample Curriculum
| Bachelor of Science in Artificial Intelligence | |||
|---|---|---|---|
| Year 1 | |||
| Semester 1 | Credit Hours | Semester 2 | Credit Hours |
| CS 100 | 2 | CS 116 | 3 |
| CS 115 | 2 | MATH 152 | 5 |
| MATH 151 | 5 | PHYS 123 | 4 |
| Minor Elective - ECON 151 | 3 | H/S Elective - ECON 152 | 3 |
| Additional Free Elective - COM 101 | 3 | Social Science Elective - PSYC 121 | 3 |
| Total | 15 | Total | 18 |
| Year 2 | |||
| Semester 1 | Credit Hours | Semester 2 | Credit Hours |
| CS 330 | 3 | CS 440 | 3 |
| CS 331 | 3 | AI Technical Elective - CS 351 | 3 |
| MATH 251 | 4 | MATH 332 | 3 |
| AI Technical Elective - CS 350 | 3 | PHYS 221 | 4 |
| Science Elective - FDSN 201 | 3 | Humanities Elective (100-level) | 3 |
| Total | 16 | Total | 16 |
| Year 3 | |||
| Semester 1 | Credit Hours | Semester 2 | Credit Hours |
| CS 425 | 3 | CS 480 | 3 |
| CS 430 | 3 | CS 487 | 3 |
| MATH 474 | 3 | MATH 476 | 3 |
| Minor Elective - BUS 211 | 3 | Minor Elective - BUS 305 | 3 |
| Social Science Elective (200+ level) | 3 | IPRO Elective I | 3 |
| Total | 15 | Total | 15 |
| Year 4 | |||
| Semester 1 | Credit Hours | Semester 2 | Credit Hours |
| CS 422 | 3 | CS 481 | 3 |
| CS 485 | 3 | AI Breadth Course - PHIL 281 | 3 |
| AI Depth Course - CS 581 | 3 | AI Technical Elective - CS 577 | 3 |
| Minor Elective - BUS 301 | 3 | Minor Elective - BUS 371 | 3 |
| Humanities Elective - COM 321 | 3 | Humanities Elective (200+ level) | 3 |
| IPRO Elective II | 3 | Social Science Elective (200+ level) | 3 |
| Total | 18 | Total | 18 |
| Total Credit Hours | 131 | (Totals over 127 owing to addition of COM 101) | |
| Minor electives result in a Minor in Business. | |||
Admissions Requirements
Admission to all undergraduate programs at ÐÓ°ÉÔ´´ Tech is evaluated via a holistic approach that takes various factors under consideration, including your high school performance and essays. Your choice of major will impact this process as well, because each major has its own criteria for admission.
To learn more about our admission selection process, please visit our ÐÓ°ÉÔ´´ Tech Mumbai admissions webpage.
Tuition and Fees
To learn about ÐÓ°ÉÔ´´ Tech Mumbai’s general tuition and fees, please visit our Tuition and Aid webpage.
