Hey there 👋🏼

Interested in some tips for finding the best matching programme for you?

Here is a checklist of the most common actions that users take before finding their dream programme.

Completed items

0 completed items

Search with at least 2 filters

You can use the search page. The filter section on the left contains a variety of useful filters.

0 / 5

Visit 5 programme pages

You can find programmes in different ways. If you haven't viewed any programmes yet, the search page is probably a good place to start.

0 / 2

Visit 2 university pages

You can find universities in different ways. From the page of a programme you like you can jump to the corresponding university or you can start with the country you like and check a list of universities there.

Take our personality test

Would you like to know what kind of programme would fit your personality best? Go to the personality test page to take the test.

Take our country test

Would you like to which country would be the ideal place for you to study? Go to the country test page to take the test.

Create an account

Creating an account gives you a number of benefits. It will unlock 6 more items on your checklist. Some new things you'll be able to do are:

Check your fit with a programme
View recommendations
Compare programmes

0 %

Get 50% profile completeness

Go to the profile page and tell us more about you. If you do, you will receive better recommendations and it gives other benefits as well.

View your recommendations

Go to the recommendations section of the profile page. There, programmes are shown that might be interesting for you. The more you do across the website, the better your recommendations become.

Complete Best Fit

You can use the BestFit tool on any programme page or for any of the programme cards that can be found on several pages. Look for any "check your match" buttons. When opened, BestFit asks you to answer some questions about yourself. Upon completion, you can find out whether the given programme is a good fit for you.

0 / 2

Wishlist 2 programmes

Save any programmes that you find interesting in your wishlist. All programmes, either on a dedicated page or on a programme card, can be wishlisted by clicking on the icon. It will be much easier to find them again later on and wishlisted programmes can be viewed side by side in our compare tool.

Compare 2 programmes

Our comparison tool is accessible via the wishlist. You can select two or more wishlisted programmes and view them side by side.

Visit 1 high fit programme

Once you have answered all questions in the Best Fit questionnaire, you can easily see how well you match any programme on our website. Find a programme for which you have a high fit in Best Fit.

Wow, that's impressive! You sure are a dedicated student. You've completed every single checklist item. Hopefully this has helped you in your search for your dream programme. Great job!

Overview

The 100% online Master of Science in Business Analytics (MSBA) program from The University of Texas Rio Grande Valley AACSB-accredited Robert C. Vackar College of Business & Entrepreneurship enables data-driven thinkers develop their abilities to transform complex data into insights that guide their organizations in making more educated, actionable decisions – skills required for success in today's competitive job market.

Key Features

Students will be knowledgeable and skilled in data selection, collection, preparation and storage, visualization, and analysis using data analytics techniques such as data mining, machine learning, text mining, social media analytics, big data, and enterprise analytics. Students will obtain hands-on experience with cutting-edge analytics tools and software such as R, Python and Tableau.

Our graduates can find diverse careers in the business analytics profession such as data analysts, business analytics consultants, business intelligence analysts, business analytics manager, big data analytics specialists, data scientists and predictive modelers.

Programme Structure

Courses include:

Statistical Foundations

Business Intelligence and Data Warehousing

Developing Customized Solutions for Business Analytics

Social Media Analytics

Data Visualization

Data Mining for Business Analytics

Machine Learning for Business Analytics

Key information

Duration

Part-time
- 12 months

Start dates & application deadlines

Starting 2023-01-13 00:00:00
- Apply before 2022-12-30 00:00:00

Language

English

IELTS

6.5

Bring your tomorrow closer

TOEFL^® IBT

Credits

33 alternative credits

Delivered

Online

Disciplines

Business Administration Business Intelligence & Analytics Machine Learning View 160 other Masters in Business Intelligence & Analytics in United States

Academic requirements

GPA

English requirements

IELTS

6.5

Bring your tomorrow closer

TOEFL^® IBT

Other requirements

General requirements

Bachelor's degree from a regionally accredited institution in the United States or a recognized international equivalent in a similar or related field.

Undergraduate GPA of at least a 3.0

Applicants with a GPA below 3.0 will be considered on a case-by-case basis.

Official transcripts from each institution attended (must be submitted directly to UTRGV).

GMAT or GRE. GMAT and GRE test scores are valid for 5 years.

Tuition Fee

To alway see correct tuition fees

International

15583 USD/year

Tuition Fee

Based on the tuition of 15583 USD for the full programme during 12 months.
National

15583 USD/year

Tuition Fee

Based on the tuition of 15583 USD for the full programme during 12 months.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Studyportals Scholarship Deadline: 30 June 2020

Apply and win up to €10000 to cover your tuition fees.

Improve page content

Due for update

Updated over a year ago

Check the official programme website for potential updates.

Business Analytics

The University of Texas Rio Grande Valley

About