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UoB – MSc Software Engineering (Professional Practice), University of Bolton United Kingdom

  • Duration: 18 Months
  • Intakes: September, January & June
  • Mode of Study: Full Time, Online Delivery with Scheduled Lectures
  • Credit Value: 180 Credits
  • Structure: 5 Modules
  • Assessment: One Exam, Dissertation and Oral Defence
  • Support: Study Materials/E-library
  • Awarded By: This degree is awarded by the University of Bolton and distance delivered by WINC

OVERVIEW

The MSc in Software Engineering is designed to provide the advanced skills and knowledge you’ll need to develop your career in this in-demand global industry. It is a specialised programme for individuals with a computing and programming background, offering advanced training in software methodologies and practical learning through realistic industry scenarios. The course aims to enhance creative thinking, problem-solving, and decision-making skills while preparing students for the demands of the software engineering field, including ethical and environmental considerations. The MSc in Software Engineering provides students with a deeper understanding of advanced software methodologies. It stimulates creative thinking and enhances problem-solving and decision-making techniques. The programme equips students with professional skills and prepares them to navigate ethical and environmental issues in their future careers.

Entry Requirements

  • You are normally expected to have successfully completed an honours degree (or equivalent) in a relevant subject and have appropriate work experience.
  • The standard entry requirement for the course is BSc(Hons) in Computer Science related subjects or BEng(Hons) in Software Engineering, usually with a first or upper second class classification. For applicants without a first or upper second, then a lower second degree will be considered on a case by case basis (particularly for candidates with good relevant industrial experience).
  • If English is not your first language you will need to complete a Secure English Language Test at IELTS 6.0 or equivalent with no band less than 5.5.

 

Qualification Structure

The following modules will be covered in the MSc Software Engineering degree course, carrying a total of 180 credits.

Contemporary Software Engineering Practices – 30 Credits

This module covers agile development, project management, and testing strategies for software engineers. It emphasises hands-on group projects, fostering critical and creative thinking. It builds on prior software engineering knowledge and aligns with the GAME+ attributes: Professional identity and Skills mastery.

Advanced Software Development – 30 Credits

Object-oriented analysis, design, and programming unify data and functions. Design patterns identify recurring class and object sets, enabling consistent reuse. This module covers 23 design patterns, enhancing software construction for students with introductory knowledge, promoting critical creativity and skills mastery.

Dev Ops – 30 credits

DevOps imparts cloud-based development and deployment skills, fostering agility. The module integrates development, delivery, and security, enhancing Software Engineering techniques in the Cloud and promoting critical self-management and professional identity via GAME+ attributes.

Research Methods – 30 credits

This module enhances research skills and creativity, covering critical evaluation of research, literature search strategies, research design, and aim formulation. It builds on prior learning and prepares for the capstone project and dissertation, emphasising Influence, Impact, Critical Creativity, and Innovation.

 

Masters Project – 60 credits

This module highlights research skills, project approval, academic standards, a dissertation, and a viva voce presentation. Attributes covered include Influence and impact, Critical self-management, Creativity and innovation, Professional identity, and Skills mastery.

UoB – MSc Data Analytics and Technologies, University of Bolton United Kingdom

  • Duration: 18 Months
  • Intakes: September, January & June
  • Mode of Study: Full Time, Online Delivery with Scheduled Lectures
  • Credit Value: 180 Credits
  • Structure: 5 Modules
  • Assessment: One Exam, Dissertation and Oral Defence
  • Support: Study Materials/E-library
  • Awarded By: This degree is awarded by the University of Bolton and distance delivered by WINC

OVERVIEW

The MSc Data Analytics and Technologies is an innovative and dynamic program designed to equip students with the necessary skills and expertise in data analytics. Students will learn how to analyse and interpret data, uncover valuable insights, and effectively communicate their discoveries. This programme combines specialised study in data analytics with essential training in high-level transferable skills. The MSc Data Analytics and Technologies programme offers a comprehensive curriculum that equips students with the necessary technical skills and analytical capabilities to excel in the field of data analytics. Graduates will be well-prepared for a successful career in this rapidly growing field, as they will have the ability to make sense of complex data and effectively communicate their findings. By enrolling in this programme, students can become masters of their own career development, with the knowledge and skills to thrive in data analytics.

Entry Requirements

  • You should have at least a lower second class (2.2) honours degree (or equivalent) in a computing-related subject or five years of relevant work experience.
  • If English isn’t your first language, you’ll also need IELTS 6.0 with no less than 5.5 in any band (or equivalent). We also accept a range of other English language qualifications.

Qualification Structure

The following modules will be covered in the MSc Data Analytics and Technologies degree course, carrying a total of 180 credits.

Data Science – 30 credits

This module strengthens data analysis and visualisation skills in a lab setting, using real-world data and industry tools. It builds on prior knowledge and applies it to other program modules and the capstone project, emphasising critical thinking, creativity, innovation, and skills mastery.

Big Data Technologies – 30 credits

This module focuses on Big Data frameworks, Cloud technologies, and data analysis. Students learn core concepts, tools like Hadoop and Spark, data structuring, and analysis. It builds on previous knowledge, integrates into other modules and the capstone project, and covers attributes like Influence, Impact, Critical Creativity, and Innovation.

Solutions Design and Ethical Practice – 30 credits

This module covers solution design, including problem identification, data collection, modelling, algorithm selection, and data visualisation. It emphasises ethics in data analytics, covering data privacy, bias mitigation, compliance, and responsible AI. Students gain technical skills and ethical awareness for success in the field.

Research Methods – 30 credits

This module enhances research skills, critical thinking, and creative problem-solving. It covers evaluating research papers, literature searching, choosing research methods, and setting research goals. It builds on prior learning and prepares you for the capstone project. It addresses attributes like Influence and Impact and Critical Creativity and Innovation.

Masters Project – 60 credits

This module focuses on research skills and advanced technical knowledge in a chosen subject. Students select a project theme, get it approved by a supervisor, conduct research, and submit a dissertation. It covers attributes like Influence and impact, Critical self-management, Critical creativity and innovation, Professional identity, and Skills mastery.