| Program start date | Application deadline |
| 2024-07-01 | - |
| 2024-08-16 | - |
Program Overview
The MSc Business Analytics program at Queen's University Belfast equips graduates with the skills and knowledge to process, analyze, and interpret data to inform and improve business decisions. The program focuses on three core areas: statistics, computing, and business, and prepares students for careers in data science, business intelligence, and other analytics-related fields. The program is taught by experienced faculty, includes industry-standard software training, and offers opportunities for study abroad and internships.
Program Outline
MSc Business Analytics at Queen's University Belfast: A Detailed Extraction
Degree Overview:
Overview:
The MSc Business Analytics program at Queen's University Belfast is designed to prepare graduates for careers in the rapidly growing field of business analytics. The program aims to equip students with the skills and knowledge necessary to process, analyze, and interpret data to inform and improve business decisions.
Objectives:
- Equip students with the necessary skills and expertise to utilize data effectively for improved decision-making and development of data-driven products and services.
- Bridge the gap between analytics and business by providing students with a comprehensive understanding of both areas.
- Prepare graduates for successful careers in business analytics through a combination of technical, statistical, and business knowledge.
Program Description:
The MSc Business Analytics program is a one-year, full-time program that consists of eight taught modules, a pre-course training component, and a final dissertation project. The program focuses on three core areas of business analytics: statistics, computing, and business. Students will develop expertise in data management, analytics tools and techniques, and data visualization. They will also gain a strong understanding of the business applications of analytics, including marketing, human resources, and finance.
Outline:
Program Content:
- Statistics for Business
- Data Management
- HR Analytics
- Artificial Intelligence in Business and Society
- Advanced Analytics and Machine Learning
- Data Mining
- Data Driven Decision Making
- Marketing Analytics
Program Structure:
- Semester 1: Statistics for Business, Data Management, HR Analytics, Artificial Intelligence in Business and Society
- Semester 2: Advanced Analytics and Machine Learning, Data Mining, Data Driven Decision Making, Marketing Analytics
- Semester 3: Dissertation Project
Course Schedule:
The program is delivered over three semesters, with each semester lasting 15 weeks. Students will typically have 30 hours of direct academic contact time per module, with additional time required for independent study and assessment completion.
Individual Modules:
- Statistics for Business: Introduces students to the theory and application of probability and statistics. Covers topics such as descriptive statistics, correlation, probability distributions, hypothesis testing, and regression analysis.
- Data Management: Explores the theory and practice of managing data, including data acquisition, pre-processing, quality control, warehousing, and big data solutions.
- HR Analytics: Examines the application of data analytics in human resource management, covering topics such as performance monitoring and evaluation, predicting future performance, and employee attrition.
- Artificial Intelligence in Business and Society: Explores the impact of artificial intelligence on business and society, including the strategic implications of AI innovations, ethical considerations, and the future of work.
- Advanced Analytics and Machine Learning: Provides students with an in-depth understanding of machine learning algorithms and their applications in business. Covers topics such as supervised and unsupervised learning, feature selection, evaluation, and model development.
- Data Mining: Explores the application of data mining techniques to extract valuable insights from unstructured data, including social media posts, textual documents, images, and videos.
- Data Driven Decision Making: Focuses on the use of data to inform business decision-making, covering topics such as data visualization, storytelling, prescriptive analytics, and the ethical considerations of data-driven decisions.
- Marketing Analytics: Explores the application of analytics in marketing, covering topics such as customer segmentation, product design, pricing, and customer retention.
Assessment:
Assessment methods:
- Coursework assignments
- Examinations
- Practical projects
- Dissertation
Assessment criteria:
- Depth of understanding of the subject matter
- Analytical skills
- Communication skills
- Problem-solving ability
- Ability to apply theoretical knowledge to real-world problems
Teaching:
Teaching methods:
- Lectures
- Tutorials
- Seminars
- Computer labs
- Group projects
- Guest lectures
Faculty:
The program is taught by a team of experienced and research-active faculty members from Queen's Business School. The faculty have expertise in various areas of business analytics, including statistics, machine learning, data management, and marketing analytics.
Unique approaches:
- The program includes an induction period with pre-course training to ensure all students have the necessary skills and knowledge to succeed in the program.
- Students will have access to industry-standard software and tools, including R, Python, KNIME, and Tableau.
- The program curriculum is designed to be highly relevant to the needs of employers in the business analytics industry.
Careers:
Potential career paths:
- Data scientist
- Business intelligence analyst
- Data analyst
- Marketing analyst
- Statistician
- Machine learning engineer
Career opportunities:
- Graduates of the program can find employment in a variety of industries, including finance, technology, healthcare, retail, and government.
- There is a global shortage of data scientists and other business analytics professionals, creating excellent career opportunities for graduates.
Outcomes:
- Graduates of the program have been successful in securing employment with leading companies such as KPMG, PwC, EY, Tata Consultancy, Citi, FD Technologies, Alibaba Group, and Severn Trent.
Other:
- The program is designed to be flexible and can be tailored to meet the individual needs of students.
- Students have the opportunity to participate in a study abroad program or a summer internship.
- The program is accredited by the Association to Advance Collegiate Schools of Business (AACSB).
Note:
This is a comprehensive extraction of all relevant information from the provided context regarding the MSc Business Analytics program at Queen's University Belfast. If you require further information or clarification, please feel free to ask.
Tuition Fees and Payment Information:
- Northern Ireland (NI) 1 £8,800
- Republic of Ireland (ROI) 2 £8,800
- England, Scotland or Wales (GB) 1 £8,800
- EU Other 3 £25,800 (£6,000 discount, see T&Cs link below)
- International £25,800 (£6,000 discount, see T&Cs link below)
- £6,000 Scholarship available for 2024 entry. Click this link to view the Terms and Conditions. 1EU citizens in the EU Settlement Scheme, with settled status, will be charged the NI or GB tuition fee based on where they are ordinarily resident. Students who are ROI nationals resident in GB will be charged the GB fee. 2 EU students who are ROI nationals resident in ROI are eligible for NI tuition fees. 3 EU Other students (excludes Republic of Ireland nationals living in GB, NI or ROI) are charged tuition fees in line with international fees. All tuition fees quoted relate to a single year of study unless stated otherwise. Tuition fees will be subject to an annual inflationary increase, unless explicitly stated otherwise.
