Engineer in Business Computing

General Objectives

This program is designed to train highly skilled engineers in the design, development, and deployment of intelligent big data analytics solutions. It encompasses the entire data value chain—from collection and processing to visualization and advanced analytics—including machine learning and deployment in distributed and cloud-based environments. The program pays particular attention to the optimization, performance, security, and ethical issues associated with artificial intelligence systems.

Specific Objectives

Equip students with the necessary skills and techniques to:

- Design, manage, and optimize relational and NoSQL databases.

- Develop and deploy machine learning and deep learning models tailored to real-world use cases.

- Integrate generative AI solutions and time series analysis for decision support.

- Collect, process, and transform large-scale data using specialized tools and languages (Python, SQL, Spark, etc.).

- Set up data pipelines (ETL) for analysis, visualization, and reporting purposes.

- Leverage cloud platforms (AWS, GCP, Azure) for training, deployment, and monitoring of AI models.

- Implement MLOps workflows to ensure reproducibility, scalability, and maintenance of AI solutions in production.

- Ensure the security, confidentiality, and ethical use of data-handling systems.

- Develop skills in digital management, organization, and strategy.

- Design and develop robust software applications using advanced programming paradigms.

- Apply software engineering principles and agile methodologies to lead collaborative IT projects.

PROGRAM

Programming and Software Development

Algorithms and Data Structure
Object Oriented Programming
Web Development
Agile Project Management

Artificial Intelligence (AI) and Data Science

Mathematics for Data Science
Operational Research and Optimization
Statistics Workshops with Python
Business Intelligence (BI)
Machine Learning
Deep Learning
Generative AI
Time Series Analysis
Computer Vision

Systems, Networks and Databases

Operating Systems
Network Foundations and Service
Relational Databases
Database Engineering

Management, organization and economic environment

Management Principles
General Accounting
Digital Marketing
Digital Economy
Operations and Logistics Management
Business Process Management
E-business strategies

Big Data, Cloud Computing and MLOps

NoSQL Databases
Batch processing
Stream processing
Big Data Visualisation
Data mining
ETL Pipelines
Data Security and Confidentiality
AWS Cloud Practitioner
Cloud Services for Machine Learning
MLOps

Soft Skills

Design Thinking
English-TOEIC Certification
Teamwork & Collaboration
IT Law & Data Protection
Business Communication
Entrepreneurship
Business Management

Co-op Program

Students can also follow this course on a work-study basis, which will allow them to obtain their bachelor's degree and gain professional experience at the same time.