QS Rank:
164
Texas A&M University, College Station
Texas
,United States
Program Rank
10
Program Name
Master of Science in Data Science
Deadline
February 01st, 2025
Overview
View Official pageThe 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.
Total Tuition Fees
$60,000
Duration
24 Months
Median Salary
$1,10,000
Ranking
#67
US World and News Report
#181
The World University Rankings
#164
QS World University Rankings
Intake
Fall ( Sept - Nov )
Class Profile
Class Size
25
Average Age
27
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
Median Earnings After Graduation
$1,10,000 / year
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
Eligibility Criteria
At least 3 / 4 undergraduate GPA is expected. At least 3 / 4 undergraduate GPA is expected.
At least 16 years of bachelor degree.
English Proficiency Tests
IELTS
6
PTE
53
TOEFL
80
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.
Application Fee: 90
Transcript
Passport
Statement of Purpose
Resume
IELTS
Professional LOR
Academic LOR
Class 12 Marksheets
Class 10 Marksheets
Application Deadlines
Standard Deadline | |
---|---|
Fall | Feb 1, 2025 |
Fees and Funding
Tuition Fees
$30,000 / year
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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