MCS Computer Science

2 Years On Campus Masters Program

Howard University

Program Overview

Howard University's Master of Computer Science (MCS) is an on-campus graduate program that provides advanced training in the analysis, design and application of computing systems. Students can specialize in software engineering, cybersecurity, algorithms and machine learning, data communications or computer systems, while gaining research experience and preparing for careers in technology, government, industry or doctoral studies.

Curriculum Structure

Year 1: Students develop a strong foundation in advanced computer science through core courses covering software engineering, computer architecture, algorithms and operating systems. Subjects such as Advanced Algorithms (CSCI 570), Computer Architecture (CSCI 510) and Advanced Software Engineering I (CSCI 551) strengthen their understanding of computational methods, hardware systems and software development. Students also study Computability and Complexity (CSCI 572) and Research Methods (CSCI 600) to develop analytical and research capabilities.

Year 2: Students deepen their expertise through specialized electives in their selected concentration. Courses such as Cybersecurity I (CSCI 653), Introduction to Machine Learning (CSCI 675) and Advanced Topics in Artificial Intelligence (CSCI 785) provide opportunities to explore intelligent computing, information security and advanced technological applications. Students complete either a research-based thesis or an independent research project, depending on their chosen degree pathway.

Focus Areas: Software Engineering, Cybersecurity, Algorithms and Machine Learning, Data Communications, Computer Systems, Artificial Intelligence, Distributed Systems, Bioinformatics, Human-Computer Interaction, Privacy and Security, Advanced Operating Systems and Computer Networks.

Learning Outcomes: Develop advanced programming and computational expertise, analyze complex algorithms, design and evaluate software systems, understand computer architecture and operating systems, apply machine learning and artificial intelligence techniques, identify cybersecurity threats, develop secure computing solutions, and conduct independent research to address contemporary technological challenges.

Professional Alignment (Accreditation): The program combines theoretical knowledge with practical computing applications and independent research. Students strengthen their professional capabilities through advanced coursework, research methods and either a thesis or independent research project. Howard also provides opportunities to engage with faculty researchers and specialized facilities, including the Data Science and Cybersecurity Center (DSC2).

Reputation (Employability Rankings): Howard University provides students with access to Washington, D.C.'s technology, government and research employment environment. The university identifies employers and organizations such as BAE Systems, Capital One, Amazon, Lockheed Martin and Google among potential career destinations for its graduates. Students also benefit from faculty expertise and research opportunities in cybersecurity, artificial intelligence, machine learning and data science.

Experiential Learning (Research, Projects, Internships etc.)

At Howard University, the Master of Computer Science (MCS) program is designed to provide students with a robust blend of theoretical knowledge and practical skills that are essential in today’s tech-driven world. Students engage in hands-on learning experiences that prepare them for real-world challenges. The program emphasizes experiential learning through various facilities and tools that enhance the educational journey.

Here are some key aspects of experiential learning in the MCS program at Howard University:

- State-of-the-Art Laboratories: Students have access to specialized labs equipped with the latest technology for software development, data analysis, and cybersecurity research.

- Collaborative Projects: The curriculum includes group projects that encourage teamwork and problem-solving, allowing students to work on real-world applications and case studies.

- Internship Opportunities: The program has strong connections with industry partners, providing students with internship opportunities that offer valuable work experience and networking.

- Research Institutes: Students can engage with various research institutes on campus, such as the Center for Computational Biology and Bioinformatics, where they can participate in cutting-edge research.

- Digital Tools and Software: The program utilizes a range of software tools, including Python, Java, and R, as well as platforms for cloud computing and machine learning, ensuring students are well-versed in industry standards.

- Field Trips and Industry Visits: Students have the chance to visit tech companies and attend workshops, giving them insights into the industry and potential career paths.

- Library Resources: The Howard University Library offers extensive resources, including access to academic journals, databases, and software tools that support research and learning.

Progression & Future Opportunities

Graduates of the MCS Computer Science program at Howard University are well-prepared to enter a dynamic job market, with many securing positions in high-demand fields. Typical job roles include Software Developer, Data Scientist, Systems Analyst, and Cybersecurity Analyst. The program equips students with the skills and knowledge necessary to thrive in these roles:

- University Services: Howard offers dedicated career services, including resume workshops, interview preparation, and networking events with industry professionals. The Office of Career Services also hosts job fairs that connect students directly with employers.

- Employment Stats and Salary Figures: According to recent data, over 90% of graduates find employment within six months of graduation, with starting salaries averaging around $85,000 annually, depending on the role and location.

- University–Industry Partnerships: Howard University has established partnerships with leading tech companies such as Google, Microsoft, and IBM, providing students with internship opportunities and real-world project experience.

- Long-term Accreditation Value: The MCS program is accredited by the Computing Accreditation Commission of ABET, ensuring that the education you receive meets the highest standards of quality and relevance in the field.

- Graduation Outcomes: Alumni of the program have gone on to work at prestigious organizations and have also pursued entrepreneurial ventures, showcasing the versatility of the degree.

Further Academic Progression: After completing the MCS Computer Science program, students have the option to further their studies by pursuing a Ph.D. in Computer Science or related fields. This advanced degree can open doors to academic positions, research opportunities, and specialized roles in technology development. Additionally, graduates may choose to obtain certifications in emerging areas such as artificial intelligence, machine learning, or cybersecurity to enhance their expertise and career prospects.