The mathematics program at High Point University seeks to provide courses that will introduce students to the logic and foundations of mathematics so that they will build skills in problem solving and deductive and analytical reasoning. These are the skills that are in demand in many of today’s most sought-after career fields.
“Data scientists, data engineers and business analysts are among the most sought-after positions in America. Yet, many existing and emerging workers don’t have the full skillset employers need.
Requirements for data science and analytics jobs are often multidisciplinary and they all require an ability to link analytics to creating value for the organization. The analytics and technology skills vary widely, but candidates must also demonstrate skills related to problem-solving in the workplace, including soft skills such as communication, creativity and teamwork. This holistic skill set is rare, so you should expect to compete fiercely for T-shaped individuals, as they are now often called, meaning those with a principle competency, plus well-honed broad skills to help them cross functions or domains.” –PwC
Why should I major in data analytics and statistics at HPU?
- In our program, students begin by building a solid foundation in
mathematics and basic statistics. As they progress through the statistics
courses, they learn to apply statistical models to detect patterns in large
data sets and draw inferences accordingly.
- Student take courses in both R and SAS programming, both of which are
industry standards in statistics and data analysis.
- Our program culminates with a data analytics capstone sequence, in
which students apply what they have learned to a data analysis project
over two semesters.
- Students receive one-on-one mentorship from expert faculty.
What makes a good data analyst?
The ability to collaborate in order to help others find answers to their
questions lies at the heart of data analytics. An effective data analyst not
only has the ability to discover structure within the data but also excels
at communicating ideas and results to audiences with varying levels of
technical knowledge. At HPU, our analytics students take courses in
statistics, mathematics, and computer programming. The data analysis skills
honed in our program will be applicable to any industry.
In-demand skills for the 21st century workplace
The World Economic Forum released a study in 2018 indicating that by 2022, data analysts and scientists will be the highest job in demand.
So what is data analytics? Data analytics informs fact-based decision making by combining advancements in technology, mathematical and statistical reasoning, and machine learning methodologies to identify patterns and make predictions using large existing data sets.
Featured Graduate Profiles:
Amy Greaves, ’19 – United States Air Force
“HPU helped me stay focused on my goals and improve myself continually. At High Point University, you are always encouraged to push yourself and explore your capabilities. This university understands so well the value of being an excellent leader and the importance of being a leader of good character. As an officer in the military, you have to uphold a higher standard of excellence, discipline, character and service. You hold other people’s lives in your hands. HPU helped me open up and grow as a leader and as a citizen of character.”
Zack Hutchens, ’18 – The University of North Carolina at Chapel Hill where he is pursuing a Ph.D. in physics.
“HPU’s physics department cultivated my curiosity and love for physics and astronomy. Beginning with a research project on cosmic ray detection which began before my freshman year, to being able to present at an international conference in stellar astrophysics, the department’s emphasis on research and mentorship helped me find my passion. The coursework was intellectually challenging and has prepared me for graduate study.”
Madison Koos, ’18 – Consultant at Equity Residential in Manhattan, New York
“HPU helped me develop my professional skills and feel comfortable working in any environment. My teachers, success coach and mentors all encouraged me to work as hard as I could and maintain a positive attitude. This has helped me immensely and will continue to impact my career moving forward. I also used Career and Professional Development services to practice my interview skills and also maintain a professional and clean resume. These services definitely helped a lot and made me standout as a candidate in job applications.”
The Department of Mathematical Sciences offers both B.A. and B.S. degrees in Mathematics. To graduate from High Point University with these degrees, students must complete the following: B.S. in Data Analytics and Statistics
| Major Requirements |
56 credits |
| University Core Requirements |
50 credits |
| Electives |
22 credits |
|
TOTAL
|
128 credits |
Requirements for the Bachelor of Science in Data Analytics and Statistics (56 credits)
- CSC 1610. Introduction to Programming for Data Analytics (4)
- MTH 1410. Calculus I (4)
- MTH 1420. Calculus II (4)
- MTH 2410. Calculus III (4)
- MTH 2310. Linear Algebra (4)
- MTH 3150. Probability (4)
- STS 2910. Introduction to Statistical Analysis with SAS Applications (4)
- STS 2920. Introduction to SAS Programming (4)
- STS 3110. Intermediate Statistical Analysis with SAS Applications (4)
- STS 3120. Applied Multivariate Statistics (4)
- STS 3130. Data Mining and Predictive Analytics I (4) STS 4210. Data Mining and Predictive Analytics II (4)
Choose two elective courses from the following list (8):
- ECO 4150. Econometrics (4)
- MTH 4150. Stochastic Processes (4)
- STS 3109. Nonparametric Statistics (4)
- STS 3250. Economic Time Series (4)
- STS 3410. Surveys and Sampling (4)
- STS 4120. Mathematical Statistics (4)
SAS Certifications
Students who complete each of STS 2910, STS 3110, and STS 3130 with a grade of C or higher will be awarded a joint HPU/SAS Certificate in Data Analytics and Statistics. This certificate will inform future prospective employers that the student has developed marketable statistical and data analytic skills using SAS.
