University of Texas at Austin Programs: Tuition fees, Ranking, Scholarships, Application Deadlines & Entry Requirements

Master of Science [M.S] [Business Analytics] From University of Texas

Austin, TexasLocation
UniversitySchool type
Estd1883established year
51832enrollment
Public
7.4/10

Master of Science [M.S] (Business Analytics)

10 months
Full Time
On Campus
Ranked #28 out of 1374 by THE Global Ranking 2024

$19,786 /Yr

  • This course deals with optimization methods that help in decision-making. It will cover a broad range of relevant quantitative techniques for decision-making. Each technique will be motivated using important applications and discussed along with some relevant theory.
  • The main focus on formulating and solving problems. Specific topics/techniques will include linear, quadratic, nonlinear, and integer programming. The course will use python extensively.
  • Learn how to harness vast amounts of data and use it to inform business decision-making. 
  • Students learn to harness "Big Data" and use it to develop more effective business practices and strategies.
  • Students participate in the Business Analytics Capstone course. This unique course brings together database management, data analysis techniques, and business decision-making to solve a problem for a real-world client.
  • This course will involve the study of a variety of machine learning techniques for predictive analytics. Particular emphasis will be given to approaches that are scalable to very large data sets and/or those that are relatively robust when faced with a large number of predictors, and algorithms for heterogeneous or streaming data.
  • Many of these capabilities are essential for handing BIG DATA. Connections to relevant business problems shall be made via example studies. We will mostly be using Python (especially Scikit-Learn). The central goal of this course is to convey an understanding of the pros and cons of different predictive modeling techniques so that you can (i) make an informed decision on what approaches to consider when faced with real-life problems requiring predictive modeling, (ii) apply models properly on real datasets so to make valid conclusions. This goal will be reinforced through both theory and hands-on experience.
  • Learn Supply Chain Management (SCM) is the management of activities governing the flow and transformation of resources from initial suppliers to ultimate consumers to make goods and services available at the right time, place, price, and condition in the most profitable and cost-effective manner. In this course, we will consider analytics applied to important problems found in the management of supply chains. The first half of the course introduces the context for the application of analytics in operations. The second half of the course addresses the use of analytics in supply chain management.

Important Dates

EventApplication Date
Application Deadline For 2025 Intake Jan 10, 2025

Tuition Fees

Year1st Year Fees
Tuition Fees$19786

Other Expenses

HeadAvg Cost Per Year
Housing and Food$17300
Transportation$1740
Books and supply$776
Total Cost$19816

Eligibility & Entry Requirement

Academic Eligibility:

  • Students have to complete a science bachelor’s honors degree in computer science or a highly related discipline.
  • Cambridge Certificate of Advanced English (CAE) or B1 Advanced – 185.
  • Cambridge Certificate of Proficiency in English (CPE) or B2 Proficiency – 185.
  • Or, bachelor's (4-year, honors degree) or equivalent from a recognized degree-granting institution.
  • GPA of at least 3.0/4.33 (B grade) in the last 2 years of study is required to be eligible for this program.
  • Students must be qualified in IELTS or TOEFL and PTE to get admission in this program.

Indian Student Eligibility:

Indian students are eligible to apply if they meet one of the following eligibility criteria:

  • Completed a 4-year UG degree with first class in a relevant field from a recognized institution
  • Or, completed graduation in B.Sc.(H) Computer Science or B.Sc. Applied Physical Sciences with Mathematics and Computer Science.
  • Or, completed a B.Sc (General) degree from a recognized institution.

Along with the minimum eligibility requirements, international students hailing from non-English speaking countries need to prove English proficiency through IELTS/TOEFL/any equivalent test.


Scores Required

706 / 800

Avg. Score in

GMAT

79 / 120

Avg. Score in

TOEFL

6.5 / 9

Avg. Score in

IELTS

318 / 340

Avg. Score in

GRE

3.0 / 4

Minimum gpa

GPA


Required Document List

  • Official transcripts from all secondary and post-secondary schools attended
  • Two letters of recommendation.
  • Passport-sized photo
  • Personal statement
  • Resume/CV
  • Non-refundable application fee
  • Evidence of competence in English .
  • Complete application form.

Ranking

2024202320222021202020192018

Times Higher Education logo
Engineering 28 out of 1374 in Global Ranking
( #15 out of 139 in USA 2024)

QS World University logo
Engineering 24 out of 555 in Global Ranking
( #9 out of 78 in USA 2024)

US News logo
Engineering 7 out of 202 in Global Ranking
( #6 out of 195 in USA 2024)

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Career and Placement after Course

Career Opportunities:

  • Supply Chain Analyst 
  • Business Analyst 
  • Marketing Analyst 

Scholarship Grants & Financial Aids

NameScholarship Per StudentLevel of StudyType
Innovation in Education Scholarship - La Tutors 123Scholarship per student$ 500/Yr$500Level Of StudyBachelorTypeMerit-Based
(ISC)² Women’s Cybersecurity ScholarshipsScholarship per studentVariable AmountLevel Of StudyBachelorTypeMerit-Based
Bharat Petroleum ScholarshipScholarship per studentVariable AmountLevel Of StudyMasterTypeMerit-Based
ASID Foundation Legacy ScholarshipsScholarship per student$ 4,000/Yr$4,000Level Of StudyBachelorTypeMerit-Based
University of Alabama ScholarshipsScholarship per student$ 6,000/Yr$6,000Level Of StudyBachelorTypeCollege-Specific
QS Connect Master’s ScholarshipScholarship per student$ 5,000/Yr$5,000Level Of StudyMasterTypeMerit-Based


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