Program Overview

Introduction to the Big Data Convergence Major

The Big Data Convergence major at Pukyong National University is designed to foster professionals who can collect, analyze, and interpret complex data to make informed decisions. The program focuses on the convergence of big data, artificial intelligence, and other emerging technologies to drive innovation and growth.

Educational Objectives

The Big Data Convergence major aims to produce graduates who can:

• Collect, analyze, and interpret large datasets to extract valuable insights
• Develop and implement data-driven solutions to real-world problems
• Apply artificial intelligence, machine learning, and deep learning techniques to drive business growth and improvement
• Communicate complex data insights effectively to both technical and non-technical stakeholders

Curriculum

The curriculum for the Big Data Convergence major includes a wide range of courses, such as:

• Introduction to Statistics
• Probability Theory
• Data Mining
• Database Management
• Data Structure and Algorithm
• Web Crawling and Big Data Analysis
• Front-end Programming
• Object-Oriented Programming
• Introduction to Time Series Data
• Regression Analysis
• Artificial Intelligence
• Big Data Processing
• Capstone Design

Research Areas

The Big Data Convergence major at Pukyong National University has several research areas, including:

• Intelligent Geospatial Data Science Lab (iGDSL)
• Advanced Data Analytics Semi-Professional (ADsP)
• Advanced Data Analytics Professional (ADP)
• AIBioLab
• 3DM Lab

Research Topics

Some of the research topics explored in the Big Data Convergence major include:

• Geographic Information System (GIS)
• Time Series Analysis
• Diagnosis and Prediction of the Ocean Environment
• Big Data Convergence
• Artificial Intelligence
• Machine Learning
• Deep Learning
• Natural Language Processing (NLP)

Career Opportunities

Graduates of the Big Data Convergence major can pursue a wide range of career opportunities, including:

• Data Analyst
• Data Scientist
• Business Intelligence Developer
• Data Engineer
• Artificial Intelligence Engineer
• Machine Learning Engineer
• Business Analyst
• Management Consultant

Admission Criteria

The admission criteria for the Big Data Convergence major at Pukyong National University include:

• High school diploma or equivalent
• TOEIC score of 600 or higher
• TEPS score of 484 or higher
• TOEFL (IBT) score of 57 or higher
• IELTS score of 5.5 or higher
• OPIC score of Intermediate Mid or higher

Tuition Fees

The tuition fees for the Big Data Convergence major at Pukyong National University vary depending on the student's nationality and residency status. For more information, please contact the university's admissions office.

Conclusion

The Big Data Convergence major at Pukyong National University is a comprehensive program that equips students with the skills and knowledge needed to succeed in the rapidly evolving field of big data and artificial intelligence. With its strong curriculum, research opportunities, and career prospects, this major is an excellent choice for students who want to pursue a career in data science, artificial intelligence, and related fields.