UNIVERSITY OF COLORADO BOULDER · UNITED STATES
Master of Science in Computer Science - Reinforcement Learning Specialization (Online)
Master's · Taught in en
At a glance
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Master's
Level
This online Master of Science (MS) in Computer Science specialization focuses on Reinforcement Learning (RL). You will gain a deep understanding of the algorithms and principles behind this powerful area of artificial intelligence. The program is designed to equip you with the knowledge to formulate decision-making problems, understand core RL concepts like value functions and policies, and implement various RL algorithms. You'll learn both planning techniques for known environments and learning strategies for situations with uncertainty and incomplete information.
Curriculum
The curriculum provides a structured approach to mastering classical reinforcement learning algorithms. It progresses from foundational concepts in deterministic decision processes to advanced topics in learning from sampled experience and control.
- Module 1
- Deterministic Decision ProcessesCSCA 5902
- Module 2
- Markov Chains and Markov Decision Processes
- Module 3
- Dynamic Programming in MDPs
- Module 4
- Learning from Sampled Experience
- Module 5
- Control, Exploration, and Tabular RL Algorithms
- Module 6
- Final Exam (For-Credit Experience Only)
Careers
This specialization equips you with advanced skills in reinforcement learning, a critical area for AI development. Graduates are well-prepared for roles in areas such as AI research, machine learning engineering, and data science, particularly those involving autonomous systems, robotics, and intelligent decision-making.
- AI Researcher
- Machine Learning Engineer
- Data Scientist
- Robotics Engineer
- AI/ML Specialist
Frequently asked questions
- How can I apply for the Master of Science in Computer Science - Reinforcement Learning Specialization?
- You can start by enrolling in the non-credit version of the courses on Coursera. To pursue the degree, you will upgrade your enrollment to the for-credit option, pay tuition, and then complete the standard application procedures for the University of Colorado Boulder Graduate School.
- Can I transfer credits from the Coursera non-credit experience to the for-credit Master's program?
- Yes, work completed in the non-credit Coursera experience can be transferred to the for-credit program upon admission and payment of tuition, as outlined in the program's guide.
- What are the career prospects after completing this specialization?
- This specialization prepares graduates for roles such as AI Researcher, Machine Learning Engineer, Data Scientist, Robotics Engineer, and AI/ML Specialist, particularly in areas involving autonomous systems and intelligent decision-making.
- Where can I find detailed information on tuition and fees?
- Detailed fee structures and tuition information for graduate programs, including online options, are available through the University of Colorado Boulder Graduate School's financial information pages.
- What prior knowledge is required for this program?
- Specific admissions requirements and any necessary prerequisites are detailed on the Graduate School admissions pages. Prior knowledge needed is TBD.
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Fees
Tuition (international)Tuition and fee information for graduate programs, including online options, is typically available through the University of Colorado Boulder Graduate School's 'Tuition and Money Matters' section. Specific program costs can vary.
Tuition (home)Tuition and fee information for graduate programs, including online options, is typically available through the University of Colorado Boulder Graduate School's 'Tuition and Money Matters' section. Specific program costs can vary.
LivingInformation on estimated living costs for students is generally provided by the University of Colorado Boulder Graduate School, but specific figures for online programs may differ.
This course is available through Coursera. Work completed in the non-credit experience can be transferred to the for-credit experience when tuition is paid. Detailed fee structures are available on the Graduate School's financial information pages.
How to apply
1. Explore the Non-Credit ExperiencePreview the course content and begin learning the material by enrolling in the non-credit version of 'Mastering Classical Reinforcement Learning Algorithms' on Coursera.
2. Upgrade to For-CreditWhen you are ready to pursue the degree, upgrade your Coursera enrollment to the for-credit option and pay the associated tuition fees.
3. Complete Program ApplicationFollow the standard application procedures for the University of Colorado Boulder Graduate School for the MS in Computer Science program. This typically involves submitting an online application, transcripts, and potentially other required documents.
4. Transfer CreditsUpon admission to the for-credit program, work completed in the Coursera non-credit experience may be transferable towards your degree requirements, as outlined in the program's 'How It Works' guide.
Accreditation
The University of Colorado Boulder is accredited by The Higher Learning Commission.
Frequently asked questions
How can I apply for the Master of Science in Computer Science - Reinforcement Learning Specialization?
+
You can start by enrolling in the non-credit version of the courses on Coursera. To pursue the degree, you will upgrade your enrollment to the for-credit option, pay tuition, and then complete the standard application procedures for the University of Colorado Boulder Graduate School.
Can I transfer credits from the Coursera non-credit experience to the for-credit Master's program?
+
Yes, work completed in the non-credit Coursera experience can be transferred to the for-credit program upon admission and payment of tuition, as outlined in the program's guide.
What are the career prospects after completing this specialization?
+
This specialization prepares graduates for roles such as AI Researcher, Machine Learning Engineer, Data Scientist, Robotics Engineer, and AI/ML Specialist, particularly in areas involving autonomous systems and intelligent decision-making.
Where can I find detailed information on tuition and fees?
+
Detailed fee structures and tuition information for graduate programs, including online options, are available through the University of Colorado Boulder Graduate School's financial information pages.
What prior knowledge is required for this program?
+
Specific admissions requirements and any necessary prerequisites are detailed on the Graduate School admissions pages. Prior knowledge needed is TBD.