1. Slippery Rock University
  2. Program
  3. Bachelors
  4. Computing Computing Analytics

Computing Computing Analytics

3 Years On Campus Bachelors Program

Slippery Rock University

Program Overview

The Computing Analytics concentration emphasizes the analytical skills that are increasingly required by organizations. Students will learn recent technological advances to capture data streams, apply analytics on generated data and create visualization of the data for corporate strategical planning. Graduates are prepared for careers in the data science field such as data analyst, data scientist, business analyst, data architect and data engineer.

Program Key Stats

$76923 (Per Credits)



74 %

Eligibility Criteria

2.6
33
75

1030
6.5
62

Additional Information & Requirements

Completed application for admission for international students, 3.0 or higher cumulative GPA on their official high school transcript, Official certified true copies in English of all secondary and post-secondary school transcripts that show year-by-year listing of courses, grades earned for each course, and credits earned for each course, Official certified true copies in English of all secondary and post-secondary school certificates, diplomas, degrees, and examination results, Proof of English language proficiency. This usually is determined by a score of 61 (internet test) or 500 (paper test) or better on the Test of English as a Foreign Language (TOEFL) or by proficiency at the 112 level or better from one of the ELS (English Language Schools) language centers in the United States, or by proficiency at the 6.0 BAnd or above on the International English Language Testing Service (IELTS), Verification of applicant s ability to meet educational costs. Financial status is not used to determine academic qualification for admission to the university but must be verified to satisfy the U.S. Immigration and Naturalization Service requirements

Career Options

  • Financial Analysis
  • Market Research
  • Budget Analysis
  • Insurance Underwriting
  • Sales Analysis
  • Web Analysis
  • Business Intelligence

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