MSc Data Analytics

Program Overview

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MSc Data Analytics

Programme Overview

The MSc Data Analytics programme has been selected by BSBI among many prestigious international programmes offered by University for the Creative Arts. The 18-month MSc data analytics is a postgraduate programme in the field of data analytics at BSBI’s Berlin Campus. The course provides students with key knowledge to pursue Data Analytics careers and provide them with the skills and confidence required to pursue their entrepreneurial dreams.

Programme Fee

• Berlin: February, May, October 2025
• International students: €13,250
• EU students: €8,450

Key Programme Information

• Duration: 18 months
• Admission requirements: Successful completion of a bachelor’s degree from a recognised university or minimum of three years of relevant work managerial experience
• Technical entry requirement: Personal laptop with i5 or above processor, at least 8 GB RAM, and Microsoft Office installed

Programme Structure

• This 18-month data analytics master’s programme combines contemporary and practical elements
• The latest technology is used to enhance learning and collaborative working
• Students work alongside research-active staff on latest research developments, while industry guest speakers and live briefs provide networking and development opportunities
• The programme awards a master’s degree with 180 UK credits, equivalent to 90 ECTS

Modules

• Term 1:
  • Fundamentals of Data Analytics
  • Predictive Analytics and Machine Learning using Python
• Term 2:
  • Enterprise Data Warehouse and Database Management Systems
  • Big Data Analytics
• Term 3:
  • Visualisation and Story Telling using Tableau
  • Computer Vision and Artificial Intelligence
• Term 4:
  • Dissertation

Learning Outcomes

• Provide conceptual frameworks for data analytics which draw insights from academic research into the challenges of contemporary technical, management and business practice
• Enable students to synthesise and examine critically the opportunities and threats posed by both globalisation, as well as business innovation in the business analytics industry
• Highlight the complexity of the emergent organisational context of data analytics industries for both international and national settings as well as large and small organisations
• Offer students an integrated approach to the study of data analytics in the international industries that emphasises the interdependence between some of the core disciplines and practices of technology and management
• Enable students to excel in a professional and managerial environment having built on existing knowledge of fundamental concepts and skills while developing new ones
• Prepare students for high-level autonomous graduate employment, research, further study and lifelong learning by developing intellectual, practical and transferable skills

Career Progression

• Research has shown that there is a growing demand for those with advanced skills in data analytics within the global job market
• BSBI’s dedicated Careers Service helps data analytics master’s students and alumni reach their career goals and realise their potential
• Career opportunities:
  • Data Scientist
  • AI Scientist
  • Customer Insights Analyst
  • Quantitative Risk Analyst
  • Market Risk Analyst
  • Security Engineer

Entry Requirements

• Minimum Age: 21
• Academic Qualifications:
  • Successful completion of a bachelor’s degree from a recognised university
  • Consideration will also be given to applicants with minimum of three years of relevant work managerial experience, demonstrating an ability to study at postgraduate level
• Technical Entry Requirement:
  • Personal laptop with i5 or above processor, at least 8 GB RAM, and Microsoft Office installed
• English Language Requirements:
  • Access the Proof of English Guide (UCA) for more information

Online Application

• Create an account and select the programme and intake you want to apply for
• Complete all sections of the online application
• Submit online application
• Our Admissions Team will liaise with you with regards to next steps

Professional Certificates

• BSBI has launched five Professional Certificate courses to support students in their employability, skills and continued development throughout their education
• These courses will help professionals better understand their strengths, competencies and areas for development – helping to progress their professional development

Study in Berlin

• Delivery: On campus
• Duration: 18 months
• Intakes: February, May, October
• Campus: Berlin, Germany
• Degree awarded by University for the Creative Arts
• Price: €13,250 (international students), €8,450 (EU students)

Program Outline

This 18-month postgraduate programme equips graduates with the essential knowledge and practical skills required to thrive in the burgeoning field of data analytics, while fostering the entrepreneurial mindset and spirit needed to pursue their own ventures.

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Objectives:

• Equip students with the foundational and advanced knowledge required to excel in data analytics.
• Develop the necessary skills and competencies for effective data analysis across various industries.
• Foster critical thinking and problem-solving abilities within the context of data analysis.
• Cultivate a strong understanding of the ethical and social implications of data analysis.
• Encourage entrepreneurial thinking and initiative for those seeking to launch their own ventures.

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Program Description:

This programme delves into various aspects of data analysis, encompassing:

• Fundamentals of Data Analytics: Gain a comprehensive understanding of the key concepts, techniques, and tools employed in data analysis.
• Statistical Analysis: Master the statistical concepts and tools required for analyzing data and drawing meaningful insights.
• Predictive Analytics & Machine Learning: Learn how to leverage machine learning algorithms for building predictive models and deciphering future trends.

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Outline:

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Program Content:

The MSc Data Analytics programme covers a comprehensive curriculum, including:

• Fundamentals of Data Analytics
• Predictive Analytics and Machine Learning using Python
• Enterprise Data Warehouse and Database Management Systems
• Big Data Analytics
• Visualization and Storytelling using Tableau
• Computer Vision and Artificial Intelligence
• Teaching takes place Monday to Saturday during morning, afternoon, and evening sessions.
• The programme is divided into four terms, with each term focusing on specific modules.

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Individual Modules:

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Term 1:

• Fundamentals of Data Analytics: Introduces the core concepts and tools of data analysis.
• Predictive Analytics and Machine Learning using Python: Covers fundamental machine learning algorithms and their implementation in Python.

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Term 2:

• Enterprise Data Warehouse and Database Management Systems: Explores the principles and practices of designing and managing efficient data warehouses.
• Big Data Analytics: Delves into the techniques and technologies used for analyzing massive datasets.

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Term 3:

• Visualization and Storytelling using Tableau: Teaches students how to effectively visualize data using the powerful Tableau tool.

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Term 4:

• Dissertation: Students conduct independent research and present their findings in the form of a dissertation.

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Assessment:

The MSc Data Analytics programme employs a variety of assessment methods to evaluate students’ comprehension and mastery of the course material:

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Assessment Methods:

• Continuous assessment through coursework, assignments, projects, and presentations.
• End-of-term examinations for each module.
• Final dissertation project and defense.
The assessment criteria focus on evaluating students’ ability to:

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Assessment Criteria:

• Demonstrate a strong grasp of the theoretical concepts related to each module.
• Apply their knowledge and skills to real-world data analysis problems.
• Communicate effectively their analytical findings through written reports and oral presentations.
• Demonstrate critical thinking, problem-solving skills, and independent research capabilities.

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Teaching:

• Practical workshops and hands-on exercises for applying learned concepts to real-world scenarios.
• Case studies and industry guest speakers to provide real-life examples and insights.

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Faculty:

• Experienced and accomplished faculty with expertise in various aspects of data analysis.
• Research-active faculty who are at the forefront of data science advancements.

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Unique Approaches:

• Collaborative learning environment that encourages teamwork, knowledge sharing, and peer interaction.
• Access to cutting-edge technologies and software used in the data analytics industry.
• Integration of research findings into the curriculum to keep students updated with the latest advancements.

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Careers:

Graduates of the MSc Data Analytics programme are equipped with a wide range of career opportunities in the data-driven job market.Potential career paths for graduates include:

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Potential Career Paths

• Data Analyst
• Business Intelligence Analyst
• Big Data Engineer
• Machine Learning Engineer
• Data Scientist
• Data Architect
• Research Analyst
• Statistician
• Management Consultant
• Quantitative Analyst
The programme's emphasis on practical skills and industry-relevant tools prepares students for a smooth transition into these roles within various industries:

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Potential Industry Opportunities

• Technology
• Finance
• Marketing
• Retail
• Healthcare
• Government
• Non-Profit
• Consulting

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Other

The MSc Data Analytics programme offers students the chance to study the German language alongside their master’s studies, enhancing their employability and cultural immersion.

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• International students Price: €12,600
• EU students Price: €8,000
• 2024 October: International students Price: €13,250 | EU students Price: €8,450
Find out more here.