Immerse Yourself in Foundational AI with Illinois 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 Illinois 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 Illinois 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 Illinois 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: Introduction to the Profession | 2 | CS 116: Object-Oriented Programming II | 3 |
| CS 115: Object-Oriented Programming I | 2 | MATH 152: Calculus II | 5 |
| MATH 151: Calculus I | 5 | PHYS 123: General Physics I: Mechanics | 4 |
| Minor Elective - ECON 151: Microeconomics | 3 | H/S Elective - ECON 152: Macroeconomics | 3 |
| Additional Free Elective - COM 101: Writing in the University | 3 | Social Science Elective - PSYC 121: Introduction to Psychology | 3 |
| Total | 15 | Total | 18 |
| Year 2 | |||
| Semester 1 | Credit Hours | Semester 2 | Credit Hours |
| CS 330: Discrete Structures | 3 | CS 440: Programming Languages and Translators | 3 |
| CS 331: Data Structures and Algorithms | 3 | AI Technical Elective - CS 351: Systems Programming | 3 |
| MATH 251: Multivariate and Vector Calculus | 4 | MATH 332: Linear Algebra: Theory and Applications | 3 |
| AI Technical Elective - CS 350: Computer Organization and Assembly Language Programming | 3 | PHYS 221: General Physics II: Electricity and Magnetism | 4 |
| Science Elective - FDSN 201: Nutrition and Wellness | 3 | Humanities Elective (100-level) | 3 |
| Total | 16 | Total | 16 |
| Year 3 | |||
| Semester 1 | Credit Hours | Semester 2 | Credit Hours |
| CS 425: Database Organization | 3 | CS 480: Introduction to Artificial Intelligence | 3 |
| CS 430: Introduction to Algorithms | 3 | CS 487: Software Engineering I | 3 |
| MATH 474: Probability and Statistics | 3 | MATH 476: Statistics | 3 |
| Minor Elective - BUS 211: Financial Accounting | 3 | Minor Elective - BUS 305: Operation and Supply Chain Analytics | 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: Data Mining | 3 | CS 481: Artificial Intelligence Language Understanding | 3 |
| CS 485: Computers and Society | 3 | AI Breadth Course - PHIL 281: Artificial Intelligence, Philosophy and Ethics | 3 |
| AI Depth Course - CS 581: Advanced Artificial Intelligence | 3 | AI Technical Elective - CS 577: Deep Learning | 3 |
| Minor Elective - BUS 301: Organizational Behavior | 3 | Minor Elective - BUS 371: Marketing Fundamentals | 3 |
| Humanities Elective - COM 321: Technical Communication | 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 Illinois 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 Illinois Tech Mumbai admissions webpage.
Tuition and Fees
To learn about Illinois Tech Mumbai’s general tuition and fees, please visit our Tuition and Aid webpage.
