B.S Data Analytics and Statistics
Course overview
The World Economic Forum released a study in 2018 indicating that by 2022,
data analysts and scientists will be the highest job in demand. The data analytics and statistics major at High Point University begins by students building a solid foundation in mathematics and basic statistics. As students progress through the statistics courses, they learn to apply statistical models to detect patterns in large data sets and draw inferences accordingly.
Data is everywhere, in every industry. Data analysts help organizations understand and use their data to solve problems and identify opportunities for future growth. As graduates gain experience in the workplace, they can become experienced data scientists, experts who pair their mathematical and statistical expertise with a deep understanding of their particular industry.
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 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.
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.
This map illustrates how the courses are related to each other, and which courses are required for your later Data Analytics and Statistics courses.
Course Structure
This Academic Plan demonstrates how a student can complete the major in 4 years.
Specific individual plans vary by student choices and options as developed with an advisor.
FRESHMAN
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SOPHOMORE
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JUNIOR
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SENIOR
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STS - STS 4210 Data Mining II
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NOTES
- This plan of study should be used in conjunction with your Undergraduate Bulletin.
- Elective credits can be used to take courses of interest or complete a minor.
- If the student needs to take MTH 1400 in the fall semester of their Freshman year, the student should take MTH 1410 spring of their Freshman year. MTH 1420 could be taken summer after Freshman year.
Course Outcomes
Upon completing the Data Analytics and Statistics program at High Point University, students will be able to:
- Apply knowledge of fundamental programming concepts to solve problems
- Learn and retain basic knowledge in the core branches of mathematics
- Obtain, transform, and prepare data for analysis
- Apply statistical models and machine learning to detect patterns, make predictions, and draw inferences supported by the data
- Effectively communicate the results of analyses orally, graphically, and in writing
Our mathematics graduates have succeeded in a variety of career and graduate school options after completing their degrees at HPU. We have students entering fields such as education, finance and analysis jobs within government. Our students have been accepted to graduate programs in fields including mathematics, computer science, law and pharmacology. Our students have also been accepted to graduate programs at
these institutions:
- Appalachian State University
- Boston University
- Carnegie Mellon University
- Clemson University
- Columbia University
- Cornell University
- Duke University
Career Opportunities
"HPU helped me build confidence in my professional abilities, which helped me succeed after I graduated."
Potential occupations include:
- Actuary
- Cryptographer
- Economist
- Mathematician
- Statistician
Potential employers include:
- Academic research institutes
- Financial institutions
- Engineering firms
- Biomedical and health services companies
- Most areas of business, government and non-governmental organizations
Explore other Programs
Get in Touch
mathdept@highpoint.edu
One University Parkway High Point, NC 27268
+1 1300 0909 123
