Bachelor of Science in Global Management - B.Sc.2

Code MLMGB301

ECTS 8.00

Delivery mode On campus

Lecture Hours 24.00

Code MLUGB414

ECTS 3.00

Delivery mode Blended

Lecture Hours 21.00

Teaching Language English

Pedagogical objectives

By the end of this course, students should be able to:

• Understand the conceptual background of the management accounting and control field and its relation to strategy and organizational performance,
• Propose a relevant design of management accounting / management control system,
• Identify ethical concerns related to management accounting.

Prerequisite

Financial accounting course in BSc.1

Code MLUGB404

ECTS 3.00

Delivery mode Blended

Lecture Hours 21.00

Teaching Language English

Pedagogical objectives

At the end of this course, students will be able to: 

• Get familiar with key notions within the field of artificial intelligence, their historical development and the existing problems in providing a precise definition.
• Identify the main ethical debates (and stances within them) on the development of artificial intelligence technologies.
• Identify, analyse and evaluate arguments in written and oral speech about the ethical and political aspects of artificial intelligence.

Prerequisite

No special technical background is needed, although some basic mathematical maturity can help to get a better grasp on examples and case studies, as well as to go further on the contents introduced during the course.

Standard reading and writing skills of a second-year BSc student are the only basic requirements.

Code MLUGB415

ECTS 3.00

Delivery mode Blended

Lecture Hours 21.00

Teaching Language English

Pedagogical objectives

At the end of this course, students should be able to: 

• Articulate what, why and how does the EU work in a concise way,
• Review the state of play in the EU (treaties, institutions, policy-making) today,
• Assess EU answers to some recent business challenges, such as the consequences of the COVID-19 pandemic

Code MLUGB405

ECTS 3.00

Delivery mode Blended

Lecture Hours 21.00

Teaching Language English

Pedagogical objectives

• Articulate what data science is.
• Understand the steps, at a high level, of doing data science.
• Describe the roles and skills of a data scientist.
• Understand the art and science of data science and predictive analytics to define clear actions that result in improved business results;
• Describe the core principles of predictive customer analytics;
• Embracing the Cross-Industry Standard Process Model for Data Mining (CRISP-DM) steps as a consistent data science process;
• Embrace the power of data viz and data-enabled storytelling in call-to-actions for audiences.
• Recall, discuss, and categorize the major data representation and chart types.
• Choose effective data representation given the context and goals of the visualization project.
• Apply concepts to real-life cases in various organizational contexts.

Prerequisite

This course is taught in the second year in the Bachelor program and consistently builds on the skills and knowledge acquired during the first year. A solid understanding in management science and proficiency in tools such as Microsoft Excel is required.

Code MLUGB417

ECTS 3.00

Delivery mode On campus

Tutorial Hours 15.00

Code MLUGB408

ECTS 2.00

Delivery mode On campus

Lecture Hours 1.50

Tutorial Hours 15.00

Teaching Language English

Pedagogical objectives

At the end of this course, students will be able to: 

• Deal with a complex environment, 
• Process numerous and various information to make strategic decisions,  
• Develop their understanding of the interactions between companies' different departments, and the impact of the external environment on performance.

Prerequisite

It is necessary to have followed the other courses of the BSc. 1 and 2 program to have the knowledge necessary to play the game.

Code MLUGB409

ECTS 4.00

Delivery mode On campus

Tutorial Hours 0.00

Teaching Language English

Pedagogical objectives

By the end of the module, students will be able to:

• Summarize main features of a topic and its international perspective
• Reflect on the stakes and issues linked to the topic
• Check for consistency among sources
• Practice self-directed and reflective learning
• Honing effective communication skills
• Show self-reliance when working independently
• Design a creative digital outcome (video, podcast, blogging, video blogging…)
• Search, review, and organize data

Prerequisite

It can be the previous LWYW project in BSc.1 or none

Code MLUGB418

ECTS 1.00

Delivery mode Blended

Tutorial Hours 9.00

Teaching Language English

Pedagogical objectives

At the end of this course, students will be able to: 

• Develop methods to efficiently search for and find information,
• Be able to critically evaluate the quality and relevance of information found

Prerequisite

The BSc.1 Informational skills course module.