Master's Degree in Mathematics and Computer Science
This master's degree combines advanced mathematics and computer science, preparing students for research, development, and technical roles in technology-driven sectors.
About
The Master's Degree in Mathematics and Computer Science is a graduate program in the United States designed for students who have completed a bachelor's degree in a related field. It offers an in-depth study of both theoretical and applied aspects of mathematics and computer science. This degree suits those interested in developing strong analytical and computational skills. Graduates can pursue careers in research, software development, data analysis, or continue in academia.
- The program blends mathematical theory with computer science principles to build a solid foundation.
- It targets students aiming to deepen their knowledge beyond undergraduate studies.
- Graduates often work in technology companies, research labs, or educational institutions.
- The degree supports roles requiring problem-solving and technical expertise.
What you study
The curriculum typically spans one to two years and covers a range of subjects that evolve from foundational to advanced topics. Students engage in both coursework and research projects. The program emphasizes practical application alongside theory.
- Early courses focus on advanced calculus, algebra, and data structures.
- Later stages include machine learning, algorithm design, and computational modeling.
- Students often complete a thesis or capstone project demonstrating applied skills.
- Hands-on experience through programming labs and
is integral. - The balance between theory and practice prepares students for diverse challenges.
How to get in
Admission to this master's program requires a relevant bachelor's degree, often in mathematics, computer science, or a related discipline. The process is competitive and involves several steps.
- Applicants must provide transcripts showing strong academic performance.
- Standardized tests like the GRE may be required by some universities.
- Letters of recommendation and a statement of purpose help assess motivation and fit.
- Some programs may require proof of English proficiency for international students.
- Admissions committees look for students with solid analytical skills and a background in relevant subjects.
Day to day
The academic year involves a mix of lectures, seminars, and independent work. Students are expected to manage coursework alongside research or projects. Practical experience is often encouraged.
- Regular classes cover both theoretical lectures and practical sessions.
- Students may participate in research groups or labs.
- Some programs offer opportunities for internships in industry.
- Time management is important to balance coursework and project deadlines.
- Collaboration with peers on group projects is common.
Continuing your studies
After completing this master's degree, students may choose to continue their studies or shift to related fields. Doctoral programs are a common next step for those interested in research.
- PhD programs in mathematics or computer science are typical options.
- Some may pursue specialized certifications in data science or artificial intelligence.
- Others might transition to fields like engineering or business analytics.
Where to study this degree (26)
Liste des 26 établissements
- Worcester Polytechnic InstituteWorcester
- New York UniversityNew York
- University of Massachusetts DartmouthNorth Dartmouth
- The University of Texas at ArlingtonArlington
- Brown UniversityProvidence
- Illinois Institute of TechnologyChicago
- Western Michigan UniversityKalamazoo
- University of Nebraska at OmahaOmaha
- Mercyhurst UniversityErie
- University of Illinois at SpringfieldSpringfield
- University of St. Thomas - TexasHouston
- George Mason UniversityFairfax
- Indiana University South BendSouth Bend
- San Jose State UniversitySan Jose
- University of Southern CaliforniaLos Angeles
- University of UtahSalt Lake City
- Emory UniversityAtlanta
- University of Central OklahomaEdmond
- Grand Valley State UniversityAllendale
- Western Oregon UniversityMonmouth
- Marquette UniversityMilwaukee
- San Diego State UniversitySan Diego
- University of Minnesota-Twin CitiesMinneapolis
- Duquesne UniversityPittsburgh
- Southern Oregon UniversityAshland
- California Institute of TechnologyPasadena
Frequently asked questions
What are the main subjects studied in this master's degree?
Students study advanced topics in mathematics such as calculus and algebra, alongside computer science subjects like algorithms, programming, and machine learning.
Is prior experience in programming necessary for admission?
Yes, most programs expect applicants to have a background in programming and mathematics from their undergraduate studies.
Can I work while studying this degree?
While the program is demanding, some students manage part-time work or internships, but there is generally no formal work-study (alternance) option.
What kind of projects will I do during the program?
Projects often involve developing software, conducting data analysis, or working on research problems in mathematics or computer science.
What career opportunities does this degree open up?
Graduates can work in roles like data scientist, software engineer, or research scientist in various sectors including technology and finance.
Can I continue my studies after this master's degree?
Yes, many graduates pursue doctoral studies or specialized certifications to deepen their expertise or shift focus.
Is this degree offered full-time only?
Most programs are full-time, typically lasting one to two years, though some universities may offer part-time options.
Do I need to take standardized tests to apply?
Some universities require tests like the GRE, but requirements vary depending on the institution.