The Computer Science program provides an advanced, flexible curriculum designed for working professionals seeking to strengthen their technical expertise and problem-solving skills through a part-time online structure. Over two years, students engage with foundational and advanced topics, including algorithms, data structures, software development, and computational theory, while exploring emerging areas such as artificial intelligence, machine learning, and cybersecurity. The program emphasizes practical application alongside theoretical understanding, helping students develop competencies in programming, algorithmic thinking, data analysis, and software design that are essential for contemporary computing challenges.
Designed for learners balancing professional responsibilities with academic development, the program integrates project-based learning, online collaboration, and applied research experiences. Students refine their abilities to design, implement, and evaluate complex computing solutions while engaging with both individual and team projects. The curriculum fosters critical skills in problem-solving, computational modeling, system architecture, and technical evaluation, ensuring graduates are prepared to address real-world challenges in technology-driven environments and to advance their careers in a rapidly evolving field.
Key information
Key Facts
- Program Title: Computer Science
- Degree Type: S. Master
- Duration: 2 years
- Mode of Study: Part-time, Online
- Application Deadline: 01 December 2025
- Location: Harvard University, United States
- Field of Study: Computer Sciences
- Language of Instruction: English
Program Structure
• Semester 1 – Foundations in Computer Science
Introduction to Computer Science and Programming
Data Structures and Algorithms
Discrete Mathematics for Computing
Research Methods in Computer Science
• Semester 2 – Systems and Applied Programming
Software Engineering Principles
Database Management and Systems
Operating Systems and Networks
Seminar: Problem Solving in Computing
• Semester 3 – Advanced Topics and Emerging Technologies
Artificial Intelligence and Machine Learning
Cybersecurity Fundamentals
Advanced Programming and Software Design
Applied Research Project
• Semester 4 – Capstone and Integration
Capstone Project / Independent Study
Cloud Computing and Scalable Systems
Data Analytics and Visualization
Professional Portfolio Development
Career Opportunities
Graduates of this program are prepared for a broad range of roles in the technology sector, including positions in software development, data analysis, system architecture, and cybersecurity, where analytical thinking and technical expertise are critical. The program equips students to work in software companies, IT consultancies, tech startups, and large enterprises that require the ability to develop, implement, and optimize complex systems. With a focus on both emerging technologies and foundational computing skills, graduates can contribute to innovative projects, lead technical teams, and address challenges in cloud computing, machine learning, or cybersecurity. This online, part-time format also allows professionals to immediately apply new skills to their current roles, enhancing career growth while gaining advanced technical competencies.
Why Choose This Program
This program is ideal for professionals seeking to advance their expertise in computer science while maintaining flexibility for work and personal commitments. Through a combination of theoretical study, project-based learning, and applied research, learners develop skills in problem-solving, software engineering, data-driven decision-making, and computational thinking. The curriculum emphasizes practical application of computing concepts, collaboration through online platforms, and exposure to emerging technologies shaping the future of the field. Graduates gain the confidence and technical acumen to tackle complex computing problems, lead innovative projects, and pursue leadership or specialized technical roles. With its rigorous academic structure, applied relevance, and flexible delivery, this program provides a strong pathway for professional advancement and lifelong learning in technology.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 617 495 1000
Email: admissions@harvard.edu
Address: University of Harvard, Cambridge, MA 02138, United States
