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QS Rank:

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164

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Texas A&M University, College Station

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Texas

United States

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Program Rank

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10

The Master of Data Science is a rigorous program that provides in-depth training in data science and data analytics. An MS in Data Science and Data Analytics from Texas A&M University, College Station is consistently ranked among the top programs in the world. International students choose this program at Texas A&M University, College Station because of its high graduate employability rate. Texas A&M University, College Station offers exceptional educational quality, cutting-edge practical training, and ample employment opportunities to its international students. After completing their MS in Data Science and Data Analytics from Texas A&M University, College Station, students will be prepared to conduct extensive research in the field. The interactive curriculum, extensive research opportunities, and outstanding teaching faculty at Texas A&M University, College Station provide students with a life-changing learning experience. A Master of Science degree will help students become creative and independent researchers. Overall, an MS in Data Science and Data Analytics from Texas A&M University, College Station is an excellent choice for students who want to study the field in depth. Here are some reasons why you should study data science at Texas A&M University, College Station: * It is a popular choice for international students with a diverse community. * You will learn from the best faculty members and have the opportunity to become their research assistants. * The university has state-of-the-art labs to facilitate your research work. * You will have access to excellent placement programs after completing your degree.

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Total Tuition Fees

$60,000

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Duration

24 Months

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Median Salary

$1,10,000

Ranking

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#67

US World and News Report

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#181

The World University Rankings

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#164

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

25

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Average Age

27

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Average Work Experience

3 Years

Diversity

Black or African American:

7%

Asian:

21%

Hispanic or Latino:

23%

White:

48%

Two or more races:

2%

Career Outcomes

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Median Earnings After Graduation

$1,10,000 / year

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Graduation Rate

85%

Prospective Job Roles

Statistician

Data Engineer

Software Architect

Business Intelligence Analyst

Business Development Representative

Data Scientist

Data Architect

Data analyst

Data Governance Specialist

Data Visualization Specialist

Clinical Data Analyst

HR Data Analyst

IT Data Analyst

Patient Data Analyst

Spatial Data Analyst

Healthcare Data Scientist

Data Science Writer

Top recruiters

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Eligibility Criteria

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At least 3 / 4 undergraduate GPA is expected. At least 3 / 4 undergraduate GPA is expected.

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At least 16 years of bachelor degree.

English Proficiency Tests

  • IELTS

    6

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  • PTE

    53

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  • TOEFL

    80

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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Application Fee: 90

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    Transcript

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    Passport

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    Statement of Purpose

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    Resume

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    IELTS

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    Professional LOR

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    Academic LOR

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    Class 12 Marksheets

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    Class 10 Marksheets

Application Deadlines

Standard Deadline
FallFeb 1, 2025

Fees and Funding

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Tuition Fees

$30,000 / year

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Overall Cost

$45,000 / year

FAQs

  • The application review process will begin close to the February 1st deadline.

  • While we are sensitive to the expenses incurred during higher education pursuits, we do not award application fee waivers. These fees are used to support the university and uphold our exceptional standards of education.

  • BS degrees are considered equivalent to a four (4) year bachelor’s degree by consulting the list of International Students – Admissions (tamu.edu) provided by the Office of Admissions. If you do not see your country listed, you will need to contact the university Admissions Office directly at [email protected].

  • Graduates have a wide range of career options and can enter various roles, such as data analyst, business analytics specialist, and statistical analyst in different industries. Data science is used in many industries, such as energy, medicine, and logistics.

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