Bachelor of Applied Arts and Sciences

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Bachelor of Applied Arts and Sciences

University of North Texas

Summer 2025 applications are open! 🦅

Review the application instructions and apply today. For assistance on your application or more information about the program, request info.

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Transfer-Ready Degree

Start without starting over and finish faster by transferring up to 90 credits.

Structured Flexibility

8-week terms. Summer acceleration options. Full/part-time schedules. View calendar!

Affordability is a Priority

Personalized Degree Plan

Customizable specialization options. Choose from 9 specializations to create your degree plan.

Better Together

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Innovative and career-ready curriculum

The Bachelor of Applied Arts and Sciences (BAAS) is designed to equip graduates with the skills and knowledge necessary to address contemporary challenges in business, IT, data analytics and more!

Check out open content from UNT to see what a university course might be like. 

  • This program emphasizes a transfer-friendly approach, facilitating the academic progression of students while fostering leadership development and practical application of theoretical concepts. Learn from industry experts and experienced faculty.

  • Students are required to transfer a minimum of 30 credit hours, but can transfer up to 90 credit hours. On average, students need about 45 credits to finish their degree.

  • Explore the comprehensive curriculum that prepares you for a dynamic professional landscape.

Scroll down to see full course descriptions.

Summer 2025 applications are open

Important Dates

Summer 2025 5W1 & 8W1

  • April 15: International student admission requirements deadline for 5W1 start
  • May 12: U.S. Freshman/transfer application deadline for 5W1 start
  • May 19: First day of 5W1 classes
  • June 2: First day of 8W1 classes

Summer 2025 5W2

  • May 15: International student admission requirements deadline for 5W2 start
  • June 16: U.S. Freshman/transfer application deadline for 5W2 start
  • June 23: First day of 5W2 classes

Fall 2025

  • June 1: Transfer excellence scholarship deadline (have to apply and be admitted by June 1, 2025)
  • July 15: International student fall admission requirements deadline
  • July 31: U.S. fall application deadline
  • August 18: Fall 2025 classes start

Upcoming events

Watch our latest webinars on our YouTube channel

Learn more about the UNT online student experience in our podcast, Scrappy Start. Listen now!

Summer 2025 applications are open

Important Dates

Summer 2025 5W1 & 8W1

  • April 15: International student admission requirements deadline for 5W1 start
  • May 12: U.S. Freshman/transfer application deadline for 5W1 start
  • May 19: First day of 5W1 classes
  • June 2: First day of 8W1 classes

Summer 2025 5W2

  • May 15: International student admission requirements deadline for 5W2 start
  • June 16: U.S. Freshman/transfer application deadline for 5W2 start
  • June 23: First day of 5W2 classes

Fall 2025

  • June 1: Transfer excellence scholarship deadline (have to apply and be admitted by June 1, 2025)
  • July 15: International student fall admission requirements deadline
  • July 31: U.S. fall application deadline
  • August 18: Fall 2025 classes start

Upcoming events

Watch our latest webinars on our YouTube channel

Learn more about the UNT online student experience in our podcast, Scrappy Start. Listen now!

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Build the skills you’ll need in programming, statistics and data analysis

Build a solid foundation for computer science expertise, with key programming concepts and problem-solving techniques using Python, one of the most widely used and versatile programming languages.

A focus on real-life problems and practical exercises will provide you with a strong working knowledge and sought-after computer science skills.

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Curriculum

You’ll build computing-specific academic skills across two distinct areas:

  • Qualitative reasoning skills: Exploring computer ethics, you’ll learn to think critically and communicate effectively about legal, moral and ethical issues related to your field of study.

  • Quantitative reasoning skills: You’ll use data analysis and produce engaging dashboards, apply common descriptive statistics to summarise datasets, and use data visualisation approaches to demonstrate patterns.

  • This module will provide practical experience in applying theoretical programming concepts in creative ways to solve real-world problems. Using Python, one of the most popular and versatile programming languages, you’ll build essential skills in this vital discipline.
  • On completion of this module, you’ll be proficient in implementing and manipulating data structures, managing and analysing data.
  • Topics covered include control flow statements, data structures, object-oriented programming, data wrangling with Pandas, databases and NumPy library.

  • This module provides a comprehensive knowledge base in the mathematics that underpin computer science.
  • You’ll refresh and secure your understanding of arithmetic and algebra, gain an overview of the functions and fundamentals of calculus and trigonometry, and explore a range of other mathematical concepts that will be relevant to your ongoing studies of computer science.
  • Topics covered include quadratic equations and parabolae, number bases and modular arithmetic, sequences and series, and vectors and geometry.

  • You’ll build a strong foundation of statistical knowledge on this module. You’ll grasp the fundamental principles of probability theory, allowing you to understand and apply standard statistical operators and recall essential probability distributions.
  • You’ll perform statistical inference in order to make informed decisions based on data analysis, and construct causal models to meet the requirements of different statistical analysis contexts.
  • Topics covered include discrete and continuous probability distributions, interval estimation, hypothesis testing principles, contingency tables and the chi-squared test, and simple linear regression.