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Texas A & M University College Station

analytics

Business & Management · NULL

Admissions to the MS Analytics Program is highly competitive Interested candidates must meet the minimum criteria to apply this program is 5 semester part-time program designed for working professionals

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University

Texas A & M University College Station

Fees

43 000 total fee

Duration

12

Intake

Fall

Country

USA

Degree

Business & Management

Program overview

Admissions to the MS Analytics Program is highly competitive Interested candidates must meet the minimum criteria to apply this program is 5 semester part-time program designed for working professionals

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Indian students comparing this program should review the university profile, entry requirements, fee range, intake availability, and how the course connects with long-term career plans in the USA. If you are still exploring, compare this option with the wider USA programs database and the Texas A & M University College Station profile.

Why choose this course in USA

A USA program should be selected for academic fit, practical exposure, faculty strength, location, affordability, internship access, and visa-readiness. For Indian students, the strongest applications usually connect past academics, projects, scores, and career goals into a coherent story. This is especially important for MS in USA, STEM, business, and professional programs where admissions teams review both readiness and intent.

Entry and test score requirements

IELTS
6.5
PTE
53
TOEFL
80
Duolingo
105
GRE
302
GMAT
0
GPA
3.5
CGPA
7
Percentage
70
Deadline
Feb 28th April 1st
Official link
Available
Visit official program page

Admission and funding

Admission

Admission requirements vary by intake and department. Confirm transcripts, scores, SOP, resume, LORs, and deadlines before applying.

Funding

NULL

Career outcomes

Career outcomes depend on the student profile, location, internships, networking, and market demand. A counselor can help evaluate whether this program aligns with your long-term USA plan.

Before applying, review the local employer ecosystem, internship rules, OPT planning, STEM OPT eligibility where relevant, and whether the curriculum gives you the practical skills employers expect. You can also compare broader pathways such as Computer Science in USA and Data Science in USA.

Related programs

Frequently asked questions

What are the entry requirements for analytics?+

Entry requirements vary by university and intake. Review academics, transcripts, English test scores, standardized tests, SOP, LOR, and deadlines before applying.

Can Indian students get help applying for this program?+

Yes. A counselor can help verify fit, documents, deadlines, and application steps for this program.

What happens after admission?+

After an admit, students usually plan financial documents, I-20, DS-160, visa scheduling, and interview preparation.

Is analytics suitable for Indian students?+

Suitability depends on your academic background, scores, budget, career goals, and visa-readiness. Compare this program with related options before applying.

How should I compare fees for this program?+

Look beyond tuition. Include living costs, health insurance, books, travel, SEVIS, visa fees, and emergency funds.

Do I need IELTS, TOEFL, GRE, or GMAT?+

Requirements depend on the university and program. Some programs publish minimum scores, while others may offer waivers or alternatives.

Which intake should I choose?+

Choose an intake based on program availability, document readiness, test timelines, scholarship deadlines, and visa appointment planning.

Can I apply to similar programs at other universities?+

Yes. A balanced shortlist usually includes safe, moderate, and ambitious options across related programs and universities.

What career outcomes should I consider?+

Review curriculum, location, internship access, alumni outcomes, employer ecosystem, and whether the program supports your long-term goals.

Can Studyinus.in help with my application documents?+

A counselor can help you organize SOP, resume, LOR planning, transcripts, score reports, and deadline tracking.

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