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BS in Artificial Intelligence

ISC - Long Island University, Post, United States
Overview Course Requirements Syllabus
BS in Artificial Intelligence
Next enrollment cycle September 2024 See all cycles
First Year Fee KES 5,940,402
Course Accredited By MSCHE
4 Years On Campus Undergraduate Degree Up to 18% scholarship

The Bachelor of Science degree program in Artificial Intelligence is one of the first degrees of its kind in the country.

Students of this program will build the foundational knowledge necessary to design computational systems that exhibit “human-like intelligence” such as the ability to interpret sensory input, learn from experience, understand human language, and support intelligent decision-making. Graduates will have the skill-set necessary to meet industry demand for workers able to contribute to research and development in Artificial Intelligence across all industry sectors. The program begins with introductory courses in programming, computer science, mathematics, and statistics that provide a firm technical foundation. The curriculum then introduces core artificial intelligence concepts and techniques including state-space search, game-playing, machine learning, neural networks, and deep learning with applications to various domains (e.g. computer vision, natural language processing and understanding).

The program is supported by a cutting-edge learning and design center which will provide students and faculty with state-of-the art technologies, tools, and systems to support learning and research. This center will provide students with the opportunity to develop research projects and prototypes with the same big data and artificial intelligence platforms used in cutting-edge industry applications.

Enrollment Cycles

  • September 2024

Entry Requirements

Entry requirements
Undergraduate

  • Direct Admission
  • TOEFL (iBT) 75 or 79 (varies by program)
  • IELTS 6.0
  • Pearson (PTE) 50
  • Pearson Versant Not Accepted
  • Duolingo Not Accepted
  • Gao Kao English 90 (Post) 
  • GPA: 2.0 – 2.5

English Language Institute

  • TOEFL (iBT) No official score required
  • IELTS Below 6.0 (Post) 
  • Pearson (PTE) Below 50
  • Pearson Versant Not Accepted
  • Duolingo Not Accepted
  • Gao Kao English Under 90 (Post) 
  • GPA: 2.0 - 2.5

LIU Post Core Curriculum (34 credits)

POST 101 1 credit

First Year Seminar 3 credits

English I 3 credits

English II 3 credits

For Quantitative Reasoning and
Scientific Inquiry & the Natural
World,

See Required Science and Math
Courses below.

Creativity, Media and the Arts Course 3 credits

ECO 10: Introduction to
Microeconomics 3 credits

Perspectives on World Cultures
Course 3 credits

PHI 8: Introduction to
Philosophy 3 credits

Power Institutions and
Structures course 3 credits

PSY 101: General Psychology 3 credits

One additional liberal arts
Elective 3 credits

Any foreign language course 3 credits
For a more detailed listing of these requirements,
see the core curriculum section of this bulletin.

Required Science and Math Courses (30credits)

BiO 1 Foundations of Biology 4.00

MTH 7
Calculus and Analytic
Geometry I 4.00

MTH 8
Calculus and Analytic
Geometry II
4.00

MTH 9
Calculus and Analytic
Geometry II
4.00

MTH 22 Applied Linear Algebra 3.00

MTH 51 Probability 3.00

PHY 3 University Physics I 4.00

PHY 4 University Physics II 4.00

Artificial Intelligence, B.S. Requirements
All of the following are required (56 credits):

AI 102 Object Oriented
Programming I
4.00

AI 117 Object Oriented
Programming II
4.00

AI 130 Algorithms and Data
Structures
3.00

AI 132 Discrete Structures 3.00

AI 148 Database Systems 3.00

AI 162 Introduction to Artificial
Intelligence 3.00

AI 163 Data Mining and
Business Intelligence 3.00

AI 164 Software Engineering 3.00

AI 230 Introduction to
Algorithms 3.00

AI 232 Theory of Computation 3.00

AI 233 Natural Language
Processing 3.00

AI 234 Artificial Intelligence
Language Understanding 3.00

AI 248 Introduction to Big Data
Computing 3.00

AI 250 Machine Learning 3.00

AI 255 Cloud Computing
Concepts 3.00

AI 260 Deep Learning 3.00

AI 265 Introduction of Modern
Cryptography 3.00

AI 300 Artificial Intelligence
Capstone Project 3.00
 

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