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AI and Big Data
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BACHELORS

AI and Big Data

Endicott College of International Studies
Daejeon, South Korea
Full-time
€6,534.79/year
 863 Points
Duration
4 Years
Language
English

Program Description

As the world continues to get smaller, the need for technology-based jobs has increased exponentially. Our AI and Big Data program boasts a curriculum that provides a solid foundation for current technological developments and beyond in the ever-changing world of technology. Our AI and Big Data program provides students with the knowledge and skills necessary for a deep understanding of the latest and most innovative technologies, with a specific emphasis on Industry 4.0.

Students will be fully versed in the analysis, design, and implementation of today’s most recent advanced technological knowledge to prepare them for the explosive job market.

Our program is one of the only all English IT programs within Korean, one of the most advanced IT countries in the world. With our new 4LAB Research Institute, students will participate in progressive research, focused on Data Science and Artificial Intelligence. Students will be well-prepared for job placement after they graduate.

Our Bachelors of Engineering in AI and Big Data offers 2 track specializations, Software Innovation or Data Sciences, selected in your Sophomore year. Each major gives our students the potential to gain employment in a variety of fields; from software developer, robotics, and blockchain to big data, finance, banking analyst, and database manager in the IT department.

There may be additional costs by this University.

Entry Requirements

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Education
High School Diploma (or equivalent)
12
English Level
IELTS
5.5
or
TOEFL (internet based)
61
Notes:

Information about requirements:

  • The final academic certificate must be apostilled, depending on the country.
  • Grade transcripts/mark sheets: scanned and certified copies with mandatory English translation are acceptable. Depending upon the country of origin, the documents must be either apostilled or certified by the Korean embassy. Students must show original certificates to admissions on arrival.

More required documents:

  • Proof of finances: a bank statement showing a minimum amount of USD 18,000 and a signed bank letter attesting to the balance.
  • Verification of documents by the Admissions Department

Other required qualifications:

  • Regular Bachelor students are required to take basic Korean language courses during the first year. During the second and third years, students may elect to study a language of their choice, including Korean, Chinese, Spanish, French, Vietnamese, Indonesian, and Japanese. Students who wish to remain in Korea for employment are encouraged to learn the Korean language to be successful in the job market.

More information:

  • There may be an additional application fee by this University.

Specializations

  • Software Innovation
  • Data Science
More

Curriculum

Courses

Introduction to Computing System

AI in Industry

Algorithm

Introduction to Data Analytics

Data Visualization

Introduction to Machine Learning

Deep Learning

Operating Systems

Autonomous Vehicle

Field Practice x 4

Elective Modules

Linear Algebra

Statistics

Data Structure

Freshman Capstone Project

Essential Mathematics for AI

SW Engineering

Computer Networks

Database

Big Data Platform

Web Analytics

Principles of Blockchain Technology

Advanced Big Data Tools

Cloud Platform

Natural Language Processing

Computer Vision

Capstone Project 1

Capstone Project 2

Information Security in Industry

Cognitive Science

AI in Digital Healthcare

Internship x 4

Any General Education or Major course x 2

Careers

Software Innovation Specialization:

  • Software Developer
  • Web Developer
  • DevOps Engineer
  • Game Developer
  • IOT Architect
  • Robotics Engineer
  • Blockchain Engineer
  • IOS/Android Developer
  • Full Stack Developer
  • Computer programmer

Data Science Specialization:

  • Business Intelligence Developer
  • Data Architect
  • Applications Architect
  • Enterprise Architect
  • Data Scientist
  • Data Analyst
  • Data Engineer
  • Machine Learning Scientist
  • Machine Learning Engineer
More

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