Artificial Intelligence in Computer Science Advanced Certificate
Advance your understanding of artificial intelligence in computer science by learning to implement AI to solve a range of problems in business, computing, engineering, and more.
Overview for Artificial Intelligence in Computer Science Adv. Cert.
The advanced certificate in artificial intelligence for computer science is intended for those 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 that have been considered unsolvable until recently. This artificial intelligence 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 in 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 2024-2025 for Artificial Intelligence in Computer Science Adv. Cert.
Current Students: See Curriculum Requirements
Artificial Intelligence in Computer Science, advanced certificate, typical course sequence
| Course | Sem. Cr. Hrs. | |
|---|---|---|
| First Year | ||
| CSCI-630 | 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. (Prerequisites:((CSCI-603 or CSCI-605) &CSCI-661) with grades of B or better or ((CSCI-243 or SWEN-262)&(CSCI-262 or CSCI-263)).If you have earned credit for CSCI-331 or you are currently enrolled in CSCI-331 you won't be permitted to enroll in CSCI-630.) Lecture 3 (Fall, Spring). |
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-603 or CSCI-605 with a grade of B or better) or ((CSCI-243 or SWEN 262) and (MATH-251 or STAT-205)) or equivalent courses.) Lecture 3 (Fall, Spring). |
3 |
Elective |
3 | |
| Second Year | ||
Elective |
3 | |
| Total Credit Hours | 12 |
|
Admissions and Financial Aid
This program is available on-campus only.
| Offered | Admit Term(s) | Application Deadline | STEM Designated |
|---|---|---|---|
| Part‑time | Fall or Spring | Rolling | No |
Part-time study is 1‑8 semester credit hours. RIT will not issue a student visa for advanced certificates.
Application Details
To be considered for admission to the Artificial Intelligence in Computer Science Adv. Cert. program, candidates must fulfill the following requirements:
- Complete an online graduate application.
- 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. A minimum cumulative GPA of 3.0 (or equivalent) is recommended.
- Satisfy prerequisite requirements and/or complete bridge courses prior to starting program coursework.
- Submit a current resume or curriculum vitae.
- Submit a personal statement of educational objectives.
- Submit two letters of recommendation.
- Entrance exam requirements: GRE optional for Spring 2025 and Fall 2025 applicants. No minimum score requirement.
- Submit English language test scores (TOEFL, IELTS, PTE Academic), if required. Details are below.
English Language Test Scores
International applicants whose native language is not English must submit one of the following official English language test scores. Some international applicants may be considered for an English test requirement waiver.
| TOEFL | IELTS | PTE Academic |
|---|---|---|
| 88 | 6.5 | 60 |
International students below the minimum requirement may be considered for conditional admission. Each program requires balanced sub-scores when determining an applicant’s need for additional English language courses.
How to Apply Start or Manage Your Application
Cost and Financial Aid
An RIT graduate degree is an investment with lifelong returns. Graduate tuition varies by degree, the number of credits taken per semester, and delivery method. View the general cost of attendance or estimate the cost of your graduate degree.
A combination of sources can help fund your graduate degree. Learn how to fund your degree
Additional Information
Prerequisites
Applicant must have college-level experience in probability and statistics and college-level knowledge of computer programming.
Contact
- Mandie Klingelhoffer
- Senior Assistant Director
- Office of Graduate and Part-Time Enrollment Services
- Enrollment Management
- 585‑475‑5526
- mskecr@rit.edu
- Hans-Peter Bischof
- Graduate Program Coordinator
- Department of Computer Science
- Golisano College of Computing and Information Sciences
- 585‑475‑5568
- hxbics@rit.edu
Department of Computer Science