Overview

Data analytics applies fundamental scientific principles to the analysis of large, complex data sets. This rapidly growing field needs practitioners with expertise that cuts across core disciplines of computer science, mathematics and statistics and with highly developed critical-thinking, problem-solving and communication skills.

Data analytics includes the set of skills necessary to identify how to manage, represent and manipulate large and complex data stores; how to abstract, model and effectively analyze such data; and how to create quantitative visual cues to help explain and make informed decisions from those data. By making sense of a vast information landscape, data analytics has the potential to—and is already starting to—transform the way we understand and interact with the world.

A student graduating with a Bachelor of Science degree with a major in data analytics will demonstrate:

An understanding of and ability to apply computer science principles relating to data representation, retrieval, programming and analysis of big data
An understanding of and ability to apply statistical methods, models and concepts to data analysis and to draw conclusions supported by data
Critical thinking skills associated with problem identification, problem solving and decision making
The ability to apply knowledge gained from one area to problems and data in another
The ability to communicate findings and their implications and to apply them effectively in organizational settings

Possible careers

Career prospects in data analytics are very promising. A broad analysis of labor statistics, census data and economic indicators by McKinsey & Company has shown that data analysis is now an integral business function and important factor for production in nearly every segment of the economy and that there will be a large shortage of prospective employees with data-analytic skills in the near term.

Upon graduation, 75% of students in the data analytics major have at least one job offer, and 12% plan to attend graduate school. Companies hiring data analytics graduates include Accenture, Cardinal Health, Columbus Blue Jackets, Ford, Infoverity, JPMorgan Chase, Nationwide Children's Hospital, PwC and Zillow.

Programme Structure

Courses include:

Calculus and linear algebra

Data mining and statistical learning

Database design and cloud computing

Optimization

Probability and statistical inference

Regression modeling and statistical decision making

Software design and programming

Visualization

Key information

Duration

Full-time
- 48 months

Start dates & application deadlines

Starting 2027-01-11 00:00:00
- Apply before 2026-10-01 00:00:00 , International
- Apply before 2026-11-01 00:00:00 , National
Starting 2027-08-24 00:00:00
- Apply before 2027-01-15 00:00:00

Language

English

Duolingo English Test

120

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TOEFL^® IBT

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IELTS

6.5

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Credits

120 SCH

Delivered

On Campus

Campus Location

Columbus, United States

Disciplines

Data Analytics View 279 other Bachelors in Data Analytics in United States

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Academic requirements

GPA

Required

English requirements

Duolingo English Test

120

Take A Free Practice Test!

TOEFL^® IBT

Schedule TOEFL®

IELTS

6.5

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

Successful completion of university preparatory courses

High school performance (class rank or GPA), including participation in accelerated programs like Honors, AP and IB; Ohio State does not have minimum requirements for class rank or GPA

Standardized test score (ACT or SAT); Ohio State does not have minimum requirements for ACT or SAT scores

Ability and desire to contribute to and engage with a diverse campus community

Experiences that demonstrate leadership or engaged involvement(e.g., co-curricular activities, work experiences or military service)

Status as a first-generation university student

High school performance if adversely affected by physical, mental or learning environment factors

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

45526 USD / year

≈ 45526 USD / year
Out-of-State

42423 USD / year

≈ 42423 USD / year
Domestic

Applies to you

In-State

13641 USD / year

≈ 13641 USD / year

Living costs

Columbus

United States

940 - 1520 USD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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Scholarships Information

Below you will find Bachelor's scholarship opportunities for Data Analytics.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

About

Overview

Possible careers

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Living costs

Columbus

Funding

Need help with your student visa?

Scholarships Information

Available Scholarships

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