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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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47

The MS in Business Analytics program at Texas A&M University, College Station is meticulously designed to equip students with the essential skills needed to excel in today's data-driven business environment. This intensive curriculum enables both recent graduates and working professionals to launch or advance their careers in analytics roles across various industries. The program emphasizes the application of cutting-edge data science tools and machine learning techniques to resolve complex business challenges, fostering a deep understanding of how data can be leveraged to drive strategic decision-making.

Over the course of 18-24 months, students will engage in a comprehensive curriculum that includes a blend of core and elective courses. The program covers critical areas such as finance, business management, machine learning, and statistics, ensuring that graduates are well-versed in both theoretical and practical aspects of business analytics. In addition to academic coursework, students will have opportunities to engage in hands-on projects and case studies that mirror real-world scenarios, preparing them to enter the workforce with confidence and competence.

The faculty at Mays Business School consists of highly qualified experts, many of whom are leaders in their respective fields and have extensive industry experience. They employ an interactive teaching methodology that combines lectures, group discussions, and practical workshops, fostering an engaging learning environment. This not only enhances students’ understanding of complex concepts but also promotes collaboration and networking among peers, which is invaluable in today's interconnected business landscape.

Research opportunities abound for MS in Business Analytics students at Texas A&M University. The university is home to state-of-the-art research centers that focus on big data, machine learning, and business intelligence. Students can engage in collaborative research projects alongside faculty members, allowing them to explore innovative solutions to real-world problems. These research endeavors not only contribute to academic knowledge but also provide students with practical experience that can enhance their employability.

Moreover, the MS in Business Analytics program at TAMU provides robust industry connections, facilitating internships and job placements with leading organizations. The university’s extensive alumni network and strong ties with industry partners create a wealth of opportunities for students to gain practical experience while studying. Internships are a critical component of the program, as they allow students to apply their skills in real-world settings, network with professionals, and often lead to full-time job offers upon graduation.

Why Study MS in Business Analytics at Texas A&M University?
  • Comprehensive Curriculum: The program offers a rich blend of theoretical and practical coursework that covers essential topics such as data analysis, statistical modeling, and predictive analytics.
  • Expert Faculty: Learn from industry leaders and experienced academics who bring real-world insights into the classroom and foster a collaborative learning environment.
  • Research Opportunities: Engage in groundbreaking research initiatives and projects that address current challenges in business analytics and data science.
  • Industry Connections: Benefit from the university’s extensive network of corporate partnerships, internships, and job placement services.
  • Strong Career Outcomes: Graduates are well-prepared for high-demand roles such as Data Scientist, Business Analyst, and Machine Learning Engineer, with an average salary of $93,000.
  • Diverse Student Body: Join a community with an international diversity percentage of 18.6%, enabling rich cultural exchange and networking opportunities.
  • Flexible Learning Modes: The program offers both full-time and part-time enrollment options to accommodate the diverse needs of students.

The specific courses within the program are thoughtfully curated to provide a well-rounded education in business analytics. Core courses include Data Mining, Predictive Analytics, Business Foundations, and Machine Learning for Business. Additionally, students can choose elective courses based on their interests, allowing them to specialize in areas such as Big Data Analytics, Text Analytics, and Advanced Data Visualization. This flexibility ensures that each student can tailor their educational experience to align with their career aspirations.

To gain admission into the MS in Business Analytics program, applicants must hold a bachelor's degree and submit a completed application package, which includes a transcript, a resume, personal statement, IELTS scores, and letters of recommendation. Importantly, the GRE requirement has been waived, making the application process more accessible for prospective students. The deadline for application submission is March 1st for the Fall intake and September 1st for the Spring intake.

Alumni of the program have found great success in various sectors, with many securing positions at renowned companies such as Google, Amazon, and Deloitte. Testimonials from graduates highlight the program's effectiveness in equipping them with the analytical skills and confidence necessary to excel in their careers. They often credit the supportive faculty and rigorous curriculum for their preparedness to tackle complex business problems using data-driven insights.

In summary, the MS in Business Analytics at Texas A&M University, College Station is a premier program that not only prepares students for immediate career opportunities but also lays a strong foundation for long-term professional growth. With a comprehensive curriculum, dedicated faculty, ample research and internship opportunities, and a robust alumni network, this program stands out as a top choice for aspiring business analytics professionals.

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Total Tuition Fees

$52

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Duration

24 Months

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Median Salary

$85,000

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

Spring ( Apr - June )

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

30

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Average Age

25

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Average Work Experience

2 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

$85,000 / year

Prospective Job Roles

Statistician

Research Scientist

Software Engineer

Data Engineer

Machine Learning Engineer

Data Analyst

Quantitative Analyst

Data Scientist

Business Analyst

Operations Research Analyst

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • TOEFL

    100

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  • IELTS

    7

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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

  • intake

    Provisional Certificate

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    Resume

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    Personal Statement

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    IELTS

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    Academic LOR

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    General LOR

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    General LOR

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    Degree Certificate

Application Deadlines

Standard Deadline
FallMar 1, 2025
SpringSep 1, 2024

Fees and Funding

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Tuition Fees

$26,000 / year

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Overall Cost

$37,200 / year

Funding Options

External Sources - Scholarships

Department Funding

To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.

Scholarships

The University of Texas at Austin offers a variety of scholarships for students pursuing a master's degree in analytics. These scholarships are based on merit, financial need, or a combination of the two. Some of the most popular scholarships include the University of Texas at Austin Graduate School of Business Scholarship, the McCombs School of Business Scholarship, and the College of Liberal Arts Scholarship. These scholarships can provide students with up to $20,000 in financial assistance.
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    University of Texas at Austin Graduate School of Business Scholarship

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    McCombs School of Business Scholarship

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    College of Liberal Arts Scholarship

FAQs

  • A student can complete Analytics at Texas A&M University, College Station with in 30.
  • The application fee to pursue Analytics at Texas A&M University, College Station is USD 90 for international students.
  • The annual tuition fee to pursue Analytics at Texas A&M University, College Station is USD 26000.
  • The Analytics at Texas A&M University, College Station has 5 semesters.
  • The submission of these scores mainly depends on the type of degree/ course selected at the Texas A&M University, College Station. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check Texas A&M University, College Station requirements before submitting a score.
  • Analytics can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more
  • If a student fulfils all the eligibility criteria and admission requirements of Texas A&M University, College Station, they can easily pursue Analytics. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.
  • An MS degree at Texas A&M University, College Station can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official Texas A&M University, College Station website to check the course/ degree duration.
  • One can apply for scholarships to pursue their international education at Texas A&M University, College Station by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.

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