Graduate Certificate in Artificial Intelligence
AI drives almost every business today, from faster medical diagnosis to self-driven automobiles. The need for qualified AI engineers and analysts has steadily increased by 32% since 2019. AI empowers you to impact the present and future of technology
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(Credits earned in the certificate may be applied to the M.S. in Artificial Intelligence degree)
Artificial intelligence (AI) uses computers and technology to achieve the outcomes of human problem-solving and decision-making abilities. It comprises methods to solve easy problems for humans but hard for digital computers, such as Natural Language Understanding, Natural Language Generation, and Image Understanding.
The AI Graduate Certificate from NJIT teaches students how to use AI to solve real-world problems and design and deploy AI solutions for large-scale systems and applications. The curriculum balances theoretical concepts and practical knowledge applied to real-life AI systems and processes.
This program is suitable for many people with a quantitative background or experience dealing with data who would like to obtain some grounding in artificial intelligence. Examples include software engineers who want to complement their programming skills with Machine Learning and Deep Learning modeling skills, pharmaceutical data analysts who explore the transition from traditional statistical analytics to contemporary deep learning models, and many more.
Certificate requirements:
- 6 credits compulsory core courses
- 6 credits elective courses
Recommended part-time credit schedule: Two courses per semester (6 credits) over two semesters, available in fall, spring, and summer.
Students are required to take two (2) core courses from the following list:
| Code | Title | Credits |
| DS 675 | Machine Learning | 3 |
| DS 677 | Deep Learning | 3 |
Students are required to take two (2) elective courses from the following list:
|
Code |
Title |
Credits |
|
DS 634 |
Data Mining |
3 |
|
CS 659 |
Image Processing and Analytics |
3 |
|
Reinforcement Learning |
3 |
|
|
Artificial Intelligence |
3 |
|
|
Natural Language Processing |
3 |
|
|
Computer Vision |
3 |
|
|
Trustworthy AI |
3 |
Students may choose an elective outside the list after approval from their respective advisors.
Applicants should have a bachelor's degree and some experience with programming and data analytics. Some experience with programming, equivalent to CS602 (Java), and some experience in data analytics, equivalent to CS482 (Data Mining).
Students who receive the AI certification from NJIT will demonstrate their expertise in the following areas:
1. Design and build custom AI models using a high-level, general-purpose programming language (Python) and frameworks such as Tensorflow and PyTorch.
2. Design and develop software in scalable AI software architectures and APIs.
3. Process and analyze various data in different formats, including text, images, audio, videos, and time-series data.
4. Formulate complex problem statements and solve them using specific AI models.
5. Present AI applications and methodologies effectively and clearly.
Jersey City Cohort Students (non-F1 visa): Tuition, University Fee, and GSA Fee per consecutive semester, regardless of residency and visa status, assuming two Jersey City courses (6 credits) at 2023-2024 rates:
- Summer 2024: $6,103
- Fall 2024: $7,086
- Spring 2024: $7,086
Certificates: Total Tuition, University Fee, and GSA Fee Costs, assuming two Jersey City courses (6 credits) per consecutive semester at 2023-2024 rates:
- Fall Start: $14,172
- Spring Start: $13,189
- Summer Start: $13,189
Ying Wu College of Computing
Quinn Hardrick
Student Outreach Manager
973-642-7037
quinn.hardrick@njit.edu
University Admissions
Yaslie Pared
Enrollment Services Manager
973-596-6292
yaslie.pared@njit.edu
NJIT@JerseyCity Location
Julio Oyola
Associate Director of Operations for NJIT@JerseyCity
973-596-6323
julio.oyola@njit.edu