Overview
This Computer Science - Artificial Intelligence and Machine Learning programme at California State University East Bay will both deepen general understanding of theoretical principles and provide exposure to important applications of Computer Science such as security, software engineering, database, networking, and others. This approach is especially important in Computer Science, where training in specific languages and systems and on specific machines is transitory, as these languages, systems, and machines evolve. In contrast, many of the principles will last, and generally apply to a wide variety of specializations within the field. The breadth of subject material is important as many students will have a number of different job classifications in their working lives.
Programme Learning Outcomes
Students graduating with an M.S. in Computer Science will be able to:
- Apply knowledge of mathematics and computational theory to analyze problems in computer science, and assess and determine the resources and requirements needed for their solution.
- Design, develop, and evaluate a computer-based system, process, component, or programme to meet desired needs.
- Classify and explain the mechanisms, components and architecture of computing systems.
- Employ current techniques, skills, and tools necessary for computing practice, and justify the need for continuing professional development.
- Discuss professional, ethical, legal, and security issues and responsibilities, and the impact of computing on individuals, organizations and society.
- Function successfully on teams to accomplish a common goal, and explain computer science concepts effectively in written and oral form.
Career opportunities include:
- Software / Application Engineer
- Game Designer
- Network Systems Engineer
- Web / Multimedia Developer
- Mobile Developer
- Systems Analyst
- Network Security Administrator
- Cloud Engineer
- Systems Manager / Programmer
- Network Administrator
- Database Applications Programmer / Administrator
- Big Data Analyst
- Information Technology (IT) Administrator
- Technical Writer
- Teacher
Programme Structure
Courses include:
- Advanced Algorithms
- Operating Systems Design
- Web Systems
- Cybersecurity
- Advanced Artificial Intelligence
- Computer Vision
- Machine Learning
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
-
- Starting
- Apply before , National
- Apply before , International
-
Language
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- 4.9/5 student rating
Credits
- 30-33 units
Delivered
Campus Location
- Hayward, United States
Disciplines
Computer Sciences Artificial Intelligence Machine Learning View 192 other Masters in Artificial Intelligence in United StatesWhat students do after studying
Academic requirements
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- To apply for admission to the Master of Science programme in Computer Science, a student must submit the proper forms, fees and transcripts to the university’s Office of Admissions, which initially reviews each application.
- Each applicant must also submit their scores on the General Test of the Graduate Record Examination (GRE) directly to the university. After the Office of Admissions has completed their review, applications are forwarded to the Computer Science department which makes the decision whether to accept or reject the applicant.
- A student wishing to enter the M.S. in Computer Science programme must normally have an undergraduate degree in Computer Science or in a related field, must have a grade point average of 3.0 in all undergraduate work, and must have earned a “B” or better in the Computer Science and Mathematics courses listed below.
Tuition Fees
-
International Applies to you
Applies to youNon-residents17599 USD / year≈ 17599 USD / year - Out-of-State17599 USD / year≈ 17599 USD / year
-
Domestic
Applies to youIn-State9607 USD / year≈ 9607 USD / year
Living costs
Hayward
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Computer Science - Artificial Intelligence and Machine Learning.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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