Advance your understanding of artificial intelligence and learn how to implement AI to solve a range of problems in business, computing, engineering, and more.
The advanced certificate in artificial intelligence for computer science is intended for traditional graduate students as well as professionals who want to advance their understanding of artificial intelligence. You will learn how to apply deep learning, natural language processing, and knowledge representation to solve problems which have been considered unsolvable until recently. This artificial intelligence graduate certificate will enable you to develop the skills needed to work in the many industries currently dealing with problems in the field of artificial intelligence.
What is a graduate certificate?
A graduate certificate, also called an advanced certificate, is a selection of up to five graduate level courses in a particular area of study. It can serve as a stand-alone credential that provides expertise is a specific topic that enhances your professional knowledge base, or it can serve as the entry point to a master's degree. Some students complete an advanced certificate and apply those credit hours later toward a master's degree.
Curriculum for Artificial Intelligence in Computer Science Adv. Cert.
Artificial Intelligence in Computer Science, advanced certificate, typical course sequence
Sem. Cr. Hrs.
Foundations of Artificial Intelligence
An introduction to the theories and algorithms used to create artificial intelligence (AI) systems. Topics include search algorithms, logic, planning, machine learning, and applications from areas such as computer vision, robotics, and natural language processing. Programming assignments and oral/written summaries of research papers are required.
Introduction to Machine Learning
This course offers an introduction to supervised machine learning theories and algorithms, and their application to classification and regression tasks. Topics include: Mathematical background of machine learning (e.g. statistical analysis and visualization of data), neural models (e.g. Convolutional Neural Networks, Recurrent Neural Networks), probabilistic graphical models (e.g. Bayesian networks, Markov models), and reinforcement learning. Programming assignments are required.
Total Credit Hours
To be considered for admission to the advanced certificate in artificial intelligence for computer science, candidates must fulfill the following requirements:
Hold a baccalaureate degree (or equivalent) from an accredited institution in science, computing, or engineering, with college-level experience in probability and statistics and college-level knowledge of computer programming.
Submit official transcripts (in English) of all previously completed undergraduate and graduate course work.
Have a minimum cumulative GPA of 3.0 (or equivalent).
Submit a personal statement.
Submit a current resume or curriculum vitae.
Submit two letters of recommendation from academic or professional sources.
International applicants whose native language is not English must submit scores from the TOEFL, IELTS, or PTE. A minimum TOEFL score of 88 (internet-based) is required. A minimum IELTS score of 6.5 is required. The English language test score requirement is waived for native speakers of English or for those submitting transcripts from degrees earned at American institutions.