As an introductory course to the program, the course will cover topics on the conceptual framework of business analytics, various sectoral application areas and a general introduction to analytical methods used. The course will also cover success stories from different sectors where business analytics is applied, and big data analytics in general, including its application areas, as a new and emerging area of interest.
Introduction to Business Analytics (BAN 500)
Programs\Type | Required | Core Elective | Area Elective |
Business Analytics - With Thesis | * | ||
Computer Science and Engineering - With Master's Degree | * | ||
Industrial Engineering - With Thesis | * | ||
Management Ph.D. - Finance Area - With Bachelor's Degree | * | ||
Management Ph.D. - Management and Organization Area - With Bachelor's Degree | * | ||
Management Ph.D. - Operations and Supply Chain Management Area - With Bachelor's Degree | * | ||
Management Ph.D. - With Bachelor's Degree | * |
CONTENT
LEARNING OUTCOMES
- Define Business Analytics and its role and contributions in decision making
- Describe methodological approaches to Business Analytics and their application contexts
- Use use of descriptive, predictive and prescriptive analytics methods on business data under corresponding decision making contexts
- Analyze a business case, select and apply an appropriate method to reach a business decision
- Understand the nature of Big Data and how it can be exploited to create value
PROGRAMME OUTCOMES
1. Develop and deepen the current and advanced knowledge in the field with original thought and/or research and come up with innovative definitions based on Master's degree qualifications
2. Conceive the interdisciplinary interaction which the field is related with ; come up with original solutions by using knowledge requiring proficiency on analysis, synthesis and assessment of new and complex ideas.
3. Evaluate and use new information within the field in a systematic approach.
4. Develop an innovative knowledge, method, design and/or practice or adapt an already known knowledge, method, design and/or practice to another field; research, conceive, design, adapt and implement an original subject.
5. Critical analysis, synthesis and evaluation of new and complex ideas.
6. Gain advanced level skills in the use of research methods in the field of study.
7. Contribute the progression in the field by producing an innovative idea, skill, design and/or practice or by adapting an already known idea, skill, design, and/or practice to a different field independently.
8. Broaden the borders of the knowledge in the field by producing or interpreting an original work or publishing at least one scientific paper in the field in national and/or international refereed journals.
9. Demonstrate leadership in contexts requiring innovative and interdisciplinary problem solving.
10. Develop new ideas and methods in the field by using high level mental processes such as creative and critical thinking, problem solving and decision making.
11. Investigate and improve social connections and their conducting norms and manage the actions to change them when necessary.
12. Defend original views when exchanging ideas in the field with professionals and communicate effectively by showing competence in the field.
13. Ability to communicate and discuss orally, in written and visually with peers by using a foreign language at least at a level of European Language Portfolio C1 General Level.
14. Contribute to the transition of the community to an information society and its sustainability process by introducing scientific, technological, social or cultural improvements.
15. Demonstrate functional interaction by using strategic decision making processes in solving problems encountered in the field.
16. Contribute to the solution finding process regarding social, scientific, cultural and ethical problems in the field and support the development of these values.
1. Develop the ability to use critical, analytical, and reflective thinking and reasoning 4
2. Reflect on social and ethical responsibilities in his/her professional life. 3
3. Gain experience and confidence in the dissemination of project/research outputs 4
4. Work responsibly and creatively as an individual or as a member or leader of a team and in multidisciplinary environments. 4
5. Communicate effectively by oral, written, graphical and technological means and have competency in English. 4
6. Independently reach and acquire information, and develop appreciation of the need for continuously learning and updating. 3
1. Develop, interpret and use statistical analyses in decision making. 3
Update Date:
ASSESSMENT METHODS and CRITERIA
Percentage (%) | |
Final | 35 |
Midterm | 25 |
Case Study | 20 |
Participation | 20 |
Homework | 0 |