Artificial Intelligence in Computer Science Advanced certificate

18604e06-d33e-420f-b8f9-55339b0e644f | 6276347

Advance your understanding of artificial intelligence and learn how to implement AI to solve a range of problems in business, computing, engineering, and more.


Overview

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

Course Sem. Cr. Hrs.
First Year
CSCI-630 3
CSCI-635
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. (Prerequisites: CSCI-331 or CSCI-630 or equivalent course.) Lecture 3 (Fall, Spring).
3
 
Elective
3
Second Year
 
Elective
3
Total Credit Hours
12

Admission Requirements

To be considered for admission to the advanced certificate in artificial intelligence for computer science, candidates must fulfill the following requirements:

  • Complete an online graduate application. Refer to Graduate Admission Deadlines and Requirements for information on application deadlines, entry terms, and more.
  • Submit copies of official transcript(s) (in English) of all previously completed undergraduate and graduate course work, including any transfer credit earned.
  • Hold a baccalaureate degree (or US equivalent) from an accredited university or college in science, computing, or engineering, with college-level experience in probability and statistics and college-level knowledge of computer programming.
  • Recommended minimum cumulative GPA of 3.0 (or equivalent).
  • Submit a current resume or curriculum vitae.
  • Two letters of recommendation are required. Refer to Application Instructions and Requirements for additional information. 
  • For entrance exam requirements (GMAT or GRE), refer to Graduate Admission Deadlines and Requirements.
  • Submit a personal statement of educational objectives. Refer to Application Instructions and Requirements for additional information.
  • International applicants whose native language is not English must submit official test scores from the TOEFL, IELTS, or PTE. Students below the minimum requirement may be considered for conditional admission. Refer to Graduate Admission Deadlines and Requirements for additional information on English requirements. International applicants may be considered for an English test requirement waiver. Refer to Additional Requirements for International Applicants to review waiver eligibility.

Study Options

This certificate is intended for part-time study; therefore, RIT cannot issue I-20 paperwork.

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