M.S. in Computer Science

Glassboro

 

INTAKE: Jan & Aug

Program Overview

The STEM-designated M.S. in Computer Science at Rowan University offers a comprehensive and cutting-edge graduate program designed to equip students with advanced theoretical knowledge and practical skills in core and emerging areas of computer science. The curriculum provides a strong foundation in algorithms, data structures, and software development, while offering opportunities for specialization in areas such as artificial intelligence, machine learning, cybersecurity, data science, and software engineering. Students benefit from hands-on learning experiences, research opportunities with faculty, and access to state-of-the-art computing facilities. The program emphasizes the development of problem-solving abilities and prepares graduates for successful careers in a wide range of technology-driven industries and for further academic pursuits.

STEM Designated: The M.S. in Computer Science's STEM designation underscores its strong emphasis on science, technology, engineering, and mathematics, ensuring a curriculum grounded in rigorous computational principles, mathematical foundations, and the application of scientific methodologies to computer science challenges.

Curriculum: The M.S. in Computer Science program requires the completion of 30 semester hours, offering both thesis and non-thesis options. The curriculum includes core courses in areas such as advanced algorithms, data structures, and computer architecture. Students can then tailor their studies through a variety of elective courses in specialized areas like artificial intelligence, machine learning, cybersecurity, database systems, software engineering, and computer graphics. The thesis option involves in-depth research culminating in a written thesis, while the non-thesis option typically involves additional coursework or a research project.

Research Focus: The program fosters a vibrant research environment, encouraging students to engage in cutting-edge research projects under the guidance of experienced faculty members whose research interests span diverse areas of computer science. Research opportunities may include topics such as machine learning algorithms, natural language processing, cybersecurity protocols, data mining techniques, and software verification methods. The research focus aims to develop students' abilities in problem formulation, experimental design, data analysis, and the communication of research findings.

Industry Engagement: Rowan University's M.S. in Computer Science program maintains strong connections with the technology industry through internships, guest lectures from industry professionals, career fairs, and collaborative research projects. The program's emphasis on practical skills and exposure to current industry trends ensures that graduates are well-prepared to meet the demands of the workforce in various technology-driven sectors.

Global Perspective: The field of computer science is inherently global, with research collaborations, open-source projects, and technology development often spanning international boundaries. The M.S. in Computer Science program at Rowan University addresses global perspectives through the study of international standards, cross-cultural software development considerations, and the global impact of computing technologies. The diverse backgrounds of faculty and students further contribute to a global learning environment.

Pollster Education

Location

Glassboro

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

USD 19150

Postgraduate Entry Requirements

Application Fee: $65

Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 65% or above in their bachelor's degree.

English Language Proficiency:

  • IELTS: Overall band score of  6.5 or 7.0 with a minimum of 6.0 in each component.
  • TOEFL: Overall score of 70 or higher.
  • PTE: Overall score of 50 or higher.
  • DET (Duolingo English Test): Minimum score of 110.

Rowan University offers a variety of scholarships and financial aid opportunities specifically aimed at supporting international students in their academic pursuits. Understanding that studying abroad can be a significant financial investment, Rowan provides merit-based scholarships, awards, and grants to help ease the financial burden and reward academic excellence and leadership potential.

Merit-Based Scholarships: International students at Rowan University may be eligible for merit scholarships based on their academic achievements, standardized test scores, and other criteria. These scholarships can range from partial to substantial tuition awards and are typically renewable for multiple years, provided students maintain satisfactory academic progress.

Global Academic Excellence Scholarship: One of the key awards available to incoming international undergraduate students is the Global Academic Excellence Scholarship, which recognizes outstanding academic records and exceptional leadership qualities. This scholarship helps reduce tuition costs and encourages high-performing students to join Rowan’s diverse community.

Departmental Scholarships and Awards: Many of Rowan’s individual colleges and departments offer specialized scholarships for international students pursuing degrees in specific fields such as business, engineering, communication, or health sciences. These awards are often competitive and based on academic merit, portfolio submissions, or departmental recommendations.

Graduate Assistantships and Fellowships: For international graduate students, Rowan provides assistantships and fellowships that offer tuition remission along with a stipend in exchange for teaching or research support. These positions not only help finance graduate education but also provide valuable professional experience and academic networking opportunities.

Graduates of the M.S. in Computer Science program at Rowan University possess a highly valued and versatile skillset, opening doors to a multitude of exciting and rewarding career opportunities within software development, artificial intelligence, cybersecurity, data science, and various other technology-intensive sectors. 

Software Engineer/Developer: Designing, developing, testing, and deploying software applications and systems for various platforms and industries.

Data Scientist/Analyst: Utilizing advanced statistical and machine learning techniques to analyze large datasets, extract meaningful insights, and develop data-driven solutions.

Artificial Intelligence (AI) Engineer: Developing and implementing AI algorithms and models for applications such as natural language processing, computer vision, and robotics.

Machine Learning (ML) Engineer: Designing, building, and deploying machine learning systems to automate tasks, make predictions, and improve software performance.

Cybersecurity Analyst/Engineer: Protecting computer systems and networks from cyber threats, developing security protocols, and responding to security incidents.

Database Administrator/Engineer: Designing, implementing, and maintaining database systems, ensuring data integrity, security, and efficient access.

Cloud Computing Engineer: Designing, deploying, and managing applications and services on cloud platforms such as AWS, Azure, or Google Cloud.

Network Engineer: Designing, implementing, and maintaining computer networks and communication systems.

Game Developer: Designing and programming video games for various platforms, utilizing skills in graphics, artificial intelligence, and software engineering.

Computer Science Researcher: Conducting research in academic institutions or industry research labs, advancing the frontiers of computer science knowledge.


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