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Interdisciplinary Studies
Bs Data Analytics
Bs Data Analytics

Bs Data Analytics

  • ID:ONU10017
  • Level:4-Year Bachelor's Degree
  • Duration:
  • Intake:

Fees (USD)

* Books, Internation student insurance Travel (round trip estmate) and Miscellaneous expenses

Estimated Total/program:
Apply
60
Accept letter
100
Visa
20
Fly
1

Admission Requirements

Entry Requirements:

  • Official high school transcripts or records of national examinations

  • Proof of English Language Proficiency

In order to obtain an I-20, the following documents are required:

  • Affidavit(s) of Support and Bank Statement(s)

  • Letter of Sponsorship, if sponsored by foreign government

  • Passport information page copy

English Requirements:

  • TOEFL(iBT): 79

  • IELTS: 6.0

  • GTEC: 1201

  • SAT Reading:610

  • ACT English: 23

  • PTE Academic: 55

  • ELS Center: Completed Level 12

  • EF International Language Schools: Completed level C1

  • OHLA: Completed Advanced 2 Level

  • Duolingo: 105+

Course Information

 

Data analytics is integral to many industries. That’s why our program is interdisciplinary in nature. You’ll explore the subject from multiple perspectives and learn from knowledgeable professors with expertise in a variety of areas.

Choose between four focus areas: geography, marketing, social media and health informatics. You’ll take courses in your focus area as well as in computer science, data science, statistics and other disciplines. You’ll also examine the ethical concerns surrounding the mining of public data by private and public organizations.

At ONU, you’ll experience a close-knit campus with small class sizes, enduring friendships with peers and individualized attention from faculty. In fact, your professors will help you uncover your strengths and interests. They will become personally invested in your future success. For any programmatic questions, please reach out to Professor Person. 

With opportunities for hands-on learning, you’ll build skills in communication, teamwork and critical thinking. Upon graduation, you’ll be a nimble professional who can lead teams in a high-tech, rapidly changing environment. Your versatile degree will open doors in many different fields – from healthcare to government, marketing to social media.

 

More information:click here

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

2019-2020 Academic Year

FALL SEMESTER

 

 

 

SPRING SEMESTER

YEAR 1

 

 

 

 

 

 

 

 

 

ECCS 1011

Python and Problem Solving

3

 

 

 

 

ECCS 2011

Intro to Data Science

3

 

MATH 1631

Calculus 1

4

 

 

 

 

STAT 2561

Statistics for Professionals 2

3

 

STAT 1561

Statistics for Professionals 1

3

 

 

 

 

 

Distribution Requirement

3

 

ENGL 1221

Writing Seminar

3

 

 

 

 

 

Distribution Requirement

3

 

TREX 1001

Transitions Experience 

3

 

 

 

 

 

Distribution Requirement 

3

 

 

 

16

 

 

 

 

 

 

15

YEAR 2

 

 

 

 

 

 

 

 

 

 

ECCS 2671

Data Structures and Algorithms 1

3

 

 

 

 

ECCS 2021

Machine Learning

3

 

STAT 3581

Statistical Computing with R

3

 

 

 

 

ECCS 3481

Databases

3

 

 

Subject Area Course

3

 

 

 

 

 

Subject Area Course

3

 

 

Diversity Seminar

3

 

 

 

 

PHIL 2401

Professional Ethics

3

 

 

Distribution Requirement

3

 

 

 

 

 

Distribution Requirement 

3

 

 

 

15

 

 

 

 

 

 

15

YEAR 3

 

 

 

 

 

 

 

 

 

 

ECCS 3021

Data Mining (every other year)

3

 

 

 

 

STAT 3571

Statistical Computing with SAS

3

 

 

Subject Area Course

3

 

 

 

 

 

Distribution Requirement

3

 

 

Distribution Requirement

3

 

 

 

 

 

Elective

3

 

 

Elective

3

 

 

 

 

 

Elective

3

 

 

Elective

3

 

 

 

 

 

Elective

3

 

 

 

15

 

 

 

 

 

 

15

YEAR 4

 

 

 

 

 

 

 

 

 

 

ECCS 3031

Big Data Analytics (every other year)

3

 

 

 

 

DATA 40x1

4001 Capstone or 4021 Internship

3

 

 

Elective

3

 

 

 

 

 

Elective

3

 

 

Elective

3

 

 

 

 

 

Elective

3

 

 

Elective

3

 

 

 

 

 

Elective

3

 

 

Elective

3

 

 

 

 

 

Elective (at least 2 hours)

2

 

 

 

15

 

 

 

 

 

 

14

 

 

 

 

 

 

 

This should be used as a guide only.  Semester offerings are subject to change.

Required Hours = 120

____

 

 

 

 

 

 

 

 

 

 

 BS PUBLIC HEALTH CURRICULUM

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

2019-2020 Academic Year

FALL SEMESTER

 

 

 

SPRING SEMESTER

YEAR 1

 

 

 

 

 

 

 

 

 

BIOL 1131

Principles & Concepts of Human Biology

4

 

 

 

 

CAMS 2331

Health Communication

3

 

PBHE 1201

Introduction to Public Health

3

 

 

 

 

STAT 1561

Statistics for Professionals 1

3

 

ENGL 1221

Writing Seminar

3

 

 

 

 

 

PBHE Elective

3

 

TREX 1001

Transitions Experience 

3

 

 

 

 

 

Distribution Requirement

3

 

 

Distribution Requirement

3

 

 

 

 

 

Distribution Requirement

3

 

 

 

16

 

 

 

 

 

 

15

YEAR 2

 

 

 

 

 

 

 

 

 

 

BIOL 2011

Environmental Issues

3

 

 

 

 

BIOL 2551

Epidemiology

3

 

PBHE 2201

Public Health Research Methods

3

 

 

 

 

PHPR 2521

Issues in Preventative Medicine

3

 

 

PBHE Elective

3

 

 

 

 

PHIL 2401

Professional Ethics

3

 

 

Distribution Requirement

3

 

 

 

 

 

PBHE Elective

3

 

 

Distribution Requirement

3

 

 

 

 

 

Elective

3

 

 

 

15

 

 

 

 

 

 

15

YEAR 3

 

 

 

 

 

 

 

 

 

 

SOC 3481

Sociology of Health & Health Care

3

 

 

 

 

PLSC 2601

Introduction to Health Policy

3

 

 

PBHE Elective

3

 

 

 

 

 

PBHE Elective

3

 

 

Diverse Cultures Seminar

3

 

 

 

 

 

Elective

3

 

 

Elective

3

 

 

 

 

 

Elective

3

 

 

Elective

3

 

 

 

 

 

Elective

3

 

 

 

15

 

 

 

 

 

 

15

YEAR 4

 

 

 

 

 

 

 

 

 

 

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Pre Courses

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Pathway Courses

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Career Opportunity

Career Opportunity

Ability to settle

Overseas Student Health Cover

Medical  insurance: 1999USD/year

 

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