SCIENCE IN
ARTIFICIAL
INTELLIGENCE
SCIENCE IN
ARTIFICIAL
INTELLIGENCE
Program Overview
Award : Bachelor of Science in Artificial Intelligence
The Bachelor of Science in Artificial Intelligence program is designed to equip students with the theoretical knowledge and practical skills necessary to excel in the rapidly evolving field of AI. This comprehensive program covers foundational concepts, advanced techniques, and real-world applications of artificial intelligence, preparing graduates for diverse career opportunities in technology, research, and various industries.
Total Credit Hours: 180 ECTS
Program Duration: 3 years (6 semesters)
Mode of learning: On campus/Online/Blended
Semester 1
- Introduction to Programming: Learn the fundamentals of programming using Python.
- Mathematics for Computer Science: Explore calculus, linear algebra, and discrete mathematics.
- Computer Science Fundamentals: Understand basic computer science concepts, including algorithms and data structures.
Semester 2
- Data Structures and Algorithms: Dive deeper into algorithms, complexity analysis, and essential data structures.
- Introduction to Artificial Intelligence: An overview of AI principles, history, and applications.
- Statistics for Data Science: Learn statistical methods and their applications in data analysis.=
Semester 3
- Machine Learning: Explore supervised and unsupervised learning techniques, including regression and classification.
- Database Management Systems: Understand database design, SQL, and data management.
- Ethics in AI: Discuss the ethical implications and societal impacts of artificial intelligence.
Semester 4
- Deep Learning: Study neural networks, convolutional networks, and recurrent networks.
- Natural Language Processing: Learn about text processing, sentiment analysis, and language models.
- Computer Vision: Explore image processing techniques and applications in AI.
Semester 5
- Reinforcement Learning: Understand the fundamentals of reinforcement learning and its applications.
- AI for Robotics: Learn about AI techniques used in robotics, including perception and decision-making.
- Capstone Project I: Begin a hands-on project that applies AI concepts to a real-world problem.
Semester 6
- AI in Industry: Examine case studies and applications of AI in various sectors, such as healthcare, finance, and transportation.
- Advanced Topics in AI: Explore cutting-edge research topics in AI and emerging technologies.
- Capstone Project II: Complete your capstone project, demonstrating your ability to integrate and apply your knowledge.
Assessment Methods
The assessment strategy for the Bachelor of Science in Artificial Intelligence program includes a mix of the following:
- Examinations: Periodic written exams to test understanding of theoretical concepts.
- Assignments: Regular assignments to reinforce learning and apply concepts in practical scenarios.
- Projects: Hands-on projects that require the application of AI techniques to solve real-world problems.
- Presentations: Oral presentations to develop communication skills and articulate findings.
- Capstone Projects: Comprehensive projects in the final semester that demonstrate the integration of knowledge and skills acquired throughout the program.
Career Opportunities
Graduates of the Bachelor of Science in Artificial Intelligence program will be well-prepared for careers in various fields, including but not limited to:
- Machine Learning Engineer
- Data Scientist
- AI Research Scientist
- Robotics Engineer
- Software Developer
- Business Intelligence Analyst