Virginia Polytechnic Institute and State University
MEng in Computer Science and Applications (Data Analytics & Artificial Intelligence track)
How this program compares
Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.
Admission Snapshot
Typical admitted student: Department materials cite a 3.0 GPA expectation, English proficiency minimums, and one letter of recommendation for recent cycles—always confirm on the live Innovation Campus admissions checklist. March deadlines have been advertised for upcoming entry terms.
About This Program
This listing highlights the Data Analytics & Artificial Intelligence track inside Virginia Tech’s coursework-only M.Eng. in Computer Science and Applications, which the department markets primarily for the Washington, D.C. metro with a separate Blacksburg eligibility path for qualified students.
Career Outcomes
Coursework-only M.Eng. emphasizing software practice with a Data Analytics & Artificial Intelligence concentration area—primarily delivered in the D.C. metro.
- 1. Machine Learning Engineer
- 2. Data Engineer / Analytics Engineer
- 3. Software Engineer (AI products)
- 4. Applied Scientist
What You'll Learn
- Complete a concentration sequence in data analytics and artificial intelligence alongside M.Eng. core expectations.
- Finish a capstone project as part of the professional engineering curriculum.
- Study computing ethics at the graduate level per program requirements.
- Optionally explore the project-based learning track through Innovation Campus materials if admitted to that pathway.
Curriculum Highlights
Virginia Tech describes the Master of Engineering in Computer Science and Applications as approximately 30 credits of coursework (4000-level or higher, with six credits allowed at the 4000 level), including a capstone project, a three-course concentration area, and an ethics and professionalism course. Published track lists include Software Development & Applications, Data Analytics & Artificial Intelligence, Computer Security, and Human-Computer Interaction (noted as Blacksburg-only for HCI). Full-time completion in about three semesters is cited for M.Eng. students; part-time study is available.
Top Employers
M.Eng. students often target employers in the national capital region technology and defense ecosystem; use Virginia Tech career outcome surveys for quantitative placement context.
Admissions
Department materials cite a 3.0 GPA expectation, English proficiency minimums, and one letter of recommendation for recent cycles—always confirm on the live Innovation Campus admissions checklist. March deadlines have been advertised for upcoming entry terms.
Application Materials
- Personal statement: Verify prompt
- Letters of recommendation: Confirm count (recent pages cited one)
- Resume: Required
- Transcripts: Official transcripts required
- English proficiency exams for international applicants
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Confirm waiver policy annually
- TOEFL iBT ~90 or IELTS ~6.5 cited on department page—verify updates
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