UNT Social Sciences Advising

ANTH 4450/5450: Advocacy, Power, Politics: Anthropology of Policy explores how legislation impacts communities and how YOU can be part of the process.

From healthcare to education to everyday rights, policy shapes how we live. In this course, you’ll break down power, advocacy, and the legislative process—and learn how to make your voice heard.

✔️ Real-world applications
✔️ Advocacy & lobbying skills
✔️ Policy-focused career prep

MWF 12:20–1:10 PM | Wooten Hall 214
Dr. Chelsea Hunter

Learn the system. Question the system. Change the system.

The Career Center is hosting a Careers in Public Affairs panel and networking event for students interested in federal public service careers this Thursday 4/16 from 11am-1pm.

Freshmen!!! Registration is now open for Summer and Fall 2026!

We have drop-in advising (GAB 220 or online) from 1:00pm-4:30pm today if you need any assistance with class registration.

The last day to drop a class or withdraw from the Spring semester is this Friday, April 10th!

You can drop a class in your student portal (my.unt.edu).
https://registrar.unt.edu/dropping-courses

Please be aware of the implications of dropping a class:
https://registrar.unt.edu/registration/dropping-class.html
https://studentaccounting.unt.edu/tuition-adjustments

To withdraw from the semester, please visit the Dean of Students Office.
https://studentaffairs.unt.edu/dean-of-students/policies/withdrawals

Sophomores!!! Registration is now open for Summer and Fall 2026!

We have drop-in advising (GAB 220 or online) from 1:00pm-4:30pm today if you need any assistance with class registration.

Juniors!!! Registration is now open for Summer and Fall 2026!

We have drop-in advising (GAB 220 or online) from 1:00pm-4:30pm today if you need any assistance with class registration.

The UNT Global Career Accelerator program allows students to earn academic credit while completing real-world projects for global organizations, all in a fully online format designed to fit alongside a full course load.

Key Details:
● Credits: 6 UNT credits
● Course code: UCRS 4800 Section 400
● Delivery: Fully online - one 90 minute synchronous meeting per week
● Eligibility: Open to students across majors
● Cost: 6 credits of tuition

Program Features:
● For-Credit Experiential Learning: Students earn academic credit while gaining meaningful experience through real-world projects, industry collaboration, and professional skill development.
● Global Project-Based Learning: Students collaborate virtually across borders on real-world assignments sourced from companies like Intel, L’Oréal, and OpenAI.
● Intercultural Curriculum by Global Experts: Developed with guidance from Dr. Darla Deardorff, this curriculum builds communication, collaboration, and cultural awareness—key skills for success in today’s team-based work environments.
● Upwork Partner Verification: Upon completion, students receive verified freelance profiles—highlighting their technical and soft skills to employers on the world’s largest online work marketplace.
● Live Company Competitions: Open to all students on campus. These 3-day sprints connect students with employers through real-world challenges, even outside the for-credit program.
● High Satisfaction & Demonstrated Impact: 94% of students recommend the program. Thousands have earned industry-recognized certifications and intercultural credentials that strengthen their career readiness.

Student Outcomes:
● Professional project portfolios and industry-recognized certifications
● Verified Upwork profiles to support freelance and early-career opportunities
● Skill development mapped to all eight NACE Career Readiness Competencies
● Documented growth in intercultural communication and teamwork
● Expanded access to global, career-connected experiences for all students

Upcoming Pre-Law Resume Workshop!

The Department of Economics is excited to introduce a brand-new course to be offered in Fall 2026: ECON 3400 Applied Machine Learning!

So, what is machine learning? Have you ever wondered how online platforms recommend new content tailored to your interests, how analysts forecast housing prices in fast-changing markets, or how financial institutions detect fraudulent credit card transactions in real time? The answer often lies in machine learning (also known as statistical learning or econometrics of big data) -- teaching computers to make predictions and identify patterns based on data.

In this course, students will explore fundamental machine learning techniques through hands-on coding exercises in Python, and learn how these methods power real-world applications in economics, business, policy analysis, and beyond. By the end, students will have the skills and knowledge to turn raw data into actionable insights that support better decision-making.