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Certificate in Applied Econometrics and Data Science Foundations Using SAS

USA

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What will I learn?

This 12-credit certificate provides students with practical, hands-on experience in data manipulation, segmentation, econometric modeling and forecasting, and other data analysis techniques using SAS statistical software. Students are trained to perform complicated data analysis, critically evaluate business problems, and contribute to the development of business solutions.

Required Courses (6 credits)

ECON 525 Applied Econometrics - 3 Credits

ECON 573 Applied Data Science - 3 Credits

Elective Courses (6 credits)

ECON 543 Time Series Analysis - 3 Credits

ECON 563 Introduction to SAS - 3 Credits

ECON 695 Independent Study - 1-3 Credits

IT 533 Data Mining - 3 Credits

Any other course approved by certificate advisor - 3 Credits

Which department am I in?

College of Arts and Sciences

Study options

Full Time (12 credit hours)

Tuition fees
US$7,800.00 per year
Start date

September 2025

Venue

College of Arts and Sciences

Valparaiso University,

1400 Chapel Drive,

VALPARAISO,

Indiana,

46383, United States

Entry requirements

For international students

To qualify for an admission recommendation into a Graduate School program, all doctorate, master’s, and certificate applicants must: Graduate from an accredited college or university; Graduate with a 3.0 GPA (B-average) in all undergraduate and/or graduate coursework.

English proficiency may be met with the Test of English as a Foreign Language (TOEFL), the International English Language Testing System (IELTS) or the Pearson Test of English (PTE). 6.0 minimum IELTS with no more than two sub scores below 6.0; 75 minimum TOEFL internet-based score must come directly from ETS to be considered valid for admission; Certain programs require a higher IELTS or TOEFL score; 56 minimum PTE; Completion of a recognized English second language (ESL) program; GRE is not required for most programs.

*There may be different IELTS requirements depending on your chosen course.

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