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Transform your Computer Science career. Be in demand.

Experienced Tech professional?  Or looking for a career change?

Clark has the program for you.

A Clark University Master of Science in Computer Science (MSCS) gives you the powerful combination of knowledge, skills, and hands-on experience, and access to a network of industry professionals to accelerate your career.

Flexible Learning Options: ON-Campus, Online, or Hybrid

Clark makes it easy to pursue an advanced computer science degree on your terms. Our flexible delivery includes full time, part time, and on-campus or online study, so you can choose your educational journey, and earn an MSCS in as little as one year with full time study.

STEM Designated Degree:

Students who graduate with a STEM degree may be eligible to work in the U.S. for up to 36 months on Optional Practical Training (OPT).

Three Industry-Focused Concentrations

Software engineering

Software Engineering

The Software Engineering concentration teaches the software development processes, software development methodologies, software quality assurance and quality control, software project management, and the development of containerized cloud-native microservices. The concentration prepares students to apply agile and traditional waterfall software development processes in the development of software products, continuous integration and continuous delivery (CI/CD) pipelines, and software configuration management. Students learn how to develop requirements specification, analysis, and design artifacts. Students learn how to apply and utilize the object-oriented development methodology and technologies, design patterns, and Unified Modeling Language (UML) in the design and development of software products.

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User experience user interface

Human-Computer Interaction (HCI)

The Human-Computer Interaction (HCI) concentration equips students with skills to design and develop intuitive User Interfaces (UI) and engaging User Experiences (UX) through modern programming, UI principles, and UX best practices. Students gain hands-on experience with user interaction scenarios, rapid prototyping, and low-code/no-code tools to build reusable digital products. With a foundation in storytelling and visual design, students learn to leverage generative AI platforms to enhance software knowledge bases and improve user experiences, creating dynamic, human-centered digital interactions.

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Data analytics

Data Intelligence

The Data Intelligence concentration prepares students to transform raw data into actionable insights using data analytics, statistical methods, machine learning, and exploratory data analysis (EDA) techniques. Combining theoretical foundations with hands-on experience, the program emphasizes data-driven decision-making, predictive modeling, and ethical data management. Students learn to analyze complex datasets, communicate findings effectively, and leverage data intelligence tools to solve real-world challenges across industries. Graduates are prepared to lead in fields like business analytics, data science, and artificial intelligence, providing insights that fuel innovation and support strategic growth.

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diagram of process

No Computer Science Background? No Problem.

Clark offers courses that deliver the foundational knowledge students need to earn a Clark MSCS. Students who successfully complete these courses can seamlessly transition to full-time study in as little as one semester:

  • Object-Oriented Programming
  • Mathematical Foundations for Data Analytics
  • Algorithms and Data Structures

Fast Track Your Way to Top Employers

Degree programs include academic advising, career support, and experiential learning opportunities. Acquire real-world experience via internships that bolster your resume and connect you to our vast employee network, and connect with potential employers at leading companies long before you graduate.

A Degree that Delivers Opportunities

  • Social media networks
  • Cloud services
  • Financial
  • Healthcare
  • Professional services
  • Scientific
  • Manufacturing
  • Retail

Career Outcomes

  • UX/UI Product Designer
  • Digital Content and Information Designer
  • Data Scientist
  • DevOps Engineer
  • Software Designer
  • Software Architect
  • Artificial Intelligence Specialist
  • Web Developer
  • Business Analyst

THE ESSENTIALS

Program Overview

Learning plus real-world experience

We place a strong emphasis on experiential learning, through internships or capstone research. This approach allows you to apply and improve your professional skills, analytic and research skills, and pragmatic problem-solving in areas specific to your professional aspirations. Gain valuable experience testing your theories and implementing creative solutions to complex problems while acquiring the practical experience you need to advance in your career.

Our outcome-focused, rigorous curriculum emphasizes core computer science competencies, while also exploring areas like machine learning, data mining, human computer interaction, mobile computing, and cybersecurity. We emphasize skills-based education, coupled with the ability to “tell a story with data,” increasing your impact on the business.

Our instructors have specific topical expertise and provide an optimized learning process and practical application of the technical and soft-skills learned. With easy access to an additional portfolio of potential electives, offering expertise in Cybersecurity, IT Architectures, and Analytics, students can construct an educational experience that is uniquely focused on their own career aspirations, including pursuing concentrations in Big Data and Human Computer Interaction (HCI).

Flexible Learning – Online or In Person

Designed for flexibility with your busy schedule, our program can be completed on a part-time basis and is available in online, on campus, or hybrid modalities. Students studying full-time can earn their degree in less than two years. Start dates for the program are in January and September.

Learning Outcomes and Competencies – School of Professional Studies

The following sections talk about the specific programmatic outcomes for each credential.  For programs at the Masters level, a core of five core operational competencies informs our theoretical framework for all Clark University School of Professional Studies Master’s degrees. Graduate certificates are not held to the same holistic standard as they are considered to be narrower in focus and more applied in practice.  For the credentials at the Masters level, those competencies are:

Core Competencies for SPS Master’s Degrees
Organizational Systems OR Foundational Elements for STEM Programs Developing an appreciation and understanding of the interdependence of the parts of a system will result in effectively and efficiently assisting an organization by developing its strategy and delivering its intended mission.  For STEM credentials, a solid foundation in analytical and diagnostic competencies which will enable the student to succeed from a technological perspective.
Ethics and Social Responsibility The SPS curriculum will stress the importance of ethics and corporate social responsibility, so all SPS students are aware of the advantages of ethical behavior in business and professional life, and can act from a moral point of view. The notions of ethics and social responsibility are extended to STEM programming through the lens of the issue of data and programming integrity that can inform systems and analytical architecture that is applied in a fair and equitable manner.
Applied Research As a professional, the SPS graduate will have the ability to call upon research methodologies to solve practical problems organizations and individuals encounter.  Our professional focus demands that informed research is a core value to knowledgeable problem-solving.
Workplace Dynamics, Communication, and Career Management OR Core Technologies Necessary to Meet STEM Industry Standards Workplace dynamics involve the relationships among the members of an organization, including departmental and interpersonal relationships. The capacity to communicate effectively is an essential skill for the successful professional. Career is an integral component of a professional’s life, and career can be maximized by an awareness of opportunities available consistent with individual talents.  For STEM-based programs, core technological applications and industry standards will be presented to form a foundation of programming and problem-solving competencies for a successful workplace experience.
Theoretical Grounding Each SPS degree is part of a field of study based upon a collection of theories that have proven to be effective when applied to challenges. Students will develop an appreciation for how arguments are used to explain, predict, and understand phenomena.

M.S. in Computer Science

The Master of Science in Computer Science is designed to equip students with advanced skills and knowledge in the planning, design, development, implementation, testing, and evaluation and deployment, of computing systems. Specific areas of study include Big Data and Human Computer Interaction. These skills form necessary foundations for solving practical problems that arise in business, industrial, governmental, and other organizations, as well as for pursuing doctoral studies in information technologies. We are confident that our degree and its concentrations will provide graduates with the skills necessary to work as professionals and take on leadership roles in their organizations. This program offers students the opportunity to develop operational competencies in five foundations.

Operational Competency Learning Outcomes
Organizational Systems — to understand the organizational role played by modern computing technology.

Course: MSCS3021 – Human Computer Interaction
  • Gain a working understanding of the fundamental concepts and components of HCI.
  • Demonstrate and be able to lead design sessions with users and developers.
  • Develop the skills to communicate with users, evaluate interaction methodologies, collect useful feedback, and create effective presentations and reports.
Ethics and Social Responsibility — to apply values and ethics within the public service and non-profit sectors.

Course: MSCS3027 – Social Informatics
  • Gain a working understanding of the framework and tools for making better, information-driven business decisions.
  • Demonstrate and be able to communicate the criticality of sound data analysis through dimensional modeling prior to BI technology solution development.
  • Demonstrate a working knowledge of Tableau, including connecting to multiple data sources, building dashboards, and creating comprehensive data visualization models.
  • Develop the skills the effectively “tell a story with data;” understand your audience, synthesize findings, and create effective dashboards, presentations, and reports.
Workplace Dynamics, Communication, and Career Management — to lead, manage, and engage others in an organization.

Course: MSDA3060 – Data Visualization and Story Telling
  • Gain a working understanding of the framework and tools for making better, information-driven business decisions.
  • Demonstrate and be able to communicate the criticality of sound data analysis through dimensional modeling prior to BI technology solution development.
  • Demonstrate a working knowledge of Tableau, including connecting to multiple data sources, building dashboards, and creating comprehensive data visualization models.
  • Develop the skills to effectively “tell a story with data;” understand your audience, synthesize findings and create effective dashboards, presentations, and report.
Applied Research — to analyze information for effective and efficient decision-making.

Course: MSCS3098 – Directed Research and MSCS3999 – Capstone Practicum
  • Clearly identify the technological scope and high level needs of the client.
  • Complete and publish an in-depth requirements and analysis document for the client.
  • Provide a summary of trends and analysis from industry best practices based on the technical needs of the client project.
  • Provide a detailed and high-quality final report and presentation, to be presented to the client and course participants.
Theoretical Grounding — the study of a business problem domain to recommend improvements.

Course: MSDA 3050 – Applied Machine Learning
  • Demonstrate ability to move through the process of designing and creating a significant software system.
  • Demonstrate ability to communicate to a variety of audiences at appropriate levels about large systems.
  • Develop an understanding of how large systems are developed and maintained, with an emphasis on testing and software engineering tools.
  • Understand and use general algorithmic design and problem-solving techniques.
  • Learn to examine published research, code, and other design documents to understand the problems being described and solved.
  • Develop an understanding of how large systems are developed and maintained, with an emphasis on testing and software engineering tools.
  • Learn the methodologies of data analytics.
  • Gain a working understanding of the framework and tools for making better, information-driven business decisions.
  • Develop the skills the effectively “tell a story with data;” understand your audience, synthesize findings, and create effective dashboards, presentations, and reports.
  • Gain a working understanding of the fundamental concepts and components of human-computer interaction.

REQUIREMENTS

10 course units

  • 3 core courses
  • 6 elective courses
  • 1 experiential learning course

Course Catalog

Explore what the School of Professional Studies has to offer

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