Master's

Data Analytics

MSC in Advanced Software Engineering

The skills of collecting, filtering and analysing data are essential for a professional working in the modern labour market of technology and innovation. This programme’s goal is to educate the scientists who will lead the ever growing and evolving industry, in which new job openings are constantly available.

Data Analytics

WHY CHOOSE THIS COURSE

Because the degree received is issued by the university of Sheffield, a university that is listed among the 15 best in the UK.

Because this is the ideal course for entrepreneurs, managers and future managers working at innovation companies who wish to gain from emerging technologies and succeed in creating strategic growth, competitiveness, profit and value for the companies they work for.

Because it focuses on creating professionals who are ready to deal with actual issues companies face by teaching subjects from IT and business modules to advanced analytical techniques and applications development.

Because it provides a variety of employment options due to the great demand for graduates who combine ICT knowledge and skills. Graduates can start their own business or work in various fields such as telecommunications and constructions, consulting agencies, startups or even begin an academic career.

Data Analytics

GOALS OF THIS COURSE
  • To teach the necessary techniques and skills on how to process a large amount of data and turn it into valuable information that will lead to the accomplishment of business objectives.
  • To provide specialisation for sectors that are in constant need of professionals with skills in web and mobile application engineering, information security, data networks and data analytics.
  • To educate on the principles of software engineering, a science that has different applications in our everyday life. Students will be taught how to create effective and updated software systems that keep up with the tech trends and the need of the actual labour market.
  • To focus on industrial models approved and needed by businesses so that students will be efficiently prepared for a career in every field relating to IT.
  • To cοnduct research and compose a thesis under the supervision of the faculty.
  • To create the leaders of the business world
  • To train students to conceive, develop and create complex software systems.
  • To employ scientific personnel of experienced lecturers and researchers. The professors of Sheffield university have been long teaching in academic environments and have been involved in research groups and studies. Frequent seminars with guest speakers from the tech industry and the academic world complete the learning process.

Data Analytics

CURRICULUM
CORE MODULES

Advanced Software Development Techniques

This unit presents advanced software development techniques within the context of a real world business environment. It focuses on: software engineering principles; agile development processes; object oriented analysis and design techniques (using the UML notation); object-oriented principles; well-known design practices as design patterns; and the systematic testing of software.

Advanced Software Engineering

The aim of this unit is to present contemporary topics in Software Engineering. It starts with a brief overview of software engineering principles and then focuses on modern approaches to software development and management, software architecture, and advanced techniques as formal methods. Students will actively contribute to the lectures, by reviewing and presenting material on contemporary software engineering topics.

Engineering Internet Applications

This module focuses on Web Development in the real world. It is a heavily practical course that aims to introduce the theory through examples. The whole process of structuring and organising a sophisticated web application is explained step by step highlighting the importance of each decision. A great range of technologies and concepts will be introduced covering from basics to state of the art. The technology stack used is Ruby with Sinatra, a lightweight framework ideal for understanding all aspects of web development. The knowledge and concepts of this module are applicable to other technology stacks, like Python, PHP, etc. The last three weeks building a web application with Java technologies will be introduced, which is typically used in enterprises.

Contemporary Issues In ICT

The focus of this research-oriented unit is on recent advances in the area of information and communication technologies and through a series of seminars and lectures, aims to present contemporary developments and topics in this rapidly changing field. Furthermore, important issues regarding the applicability and incorporation of information and communication technologies in business environments are discussed, preparing in this way the students for the industry. In addition, students are introduced to concepts, processes and methods of research and are given the opportunity to critically analyze and evaluate the advances of a specific area within the general ICT domain.

Industrial Group Project

The purpose of this unit is to provide students with the opportunity to integrate and apply skills and knowledge they acquired so far in their studies to a realistic problem. Students are exposed to the processes involved in the team-based development of software through real-life projects that are provided by companies from the software industry.

Research Skills & Dissertation Preparation

This unit intends to help students develop their research skills and prepare students for working on their MSc dissertation. With the guidance of their supervisors students are introduced to the research topics and techniques that are commonly employed in software engineering and telecommunication science.

Students are exposed to and exercise the principles and practices of report writing, literature reviewing, and research designs and approaches.

DISSERTATION

One module from the following

Computer Networking and Internet Technologies

This unit provides the student with a deep and thorough understanding of advanced concepts in selected areas of digital communications, computer networking and Internet technologies, including analog and digital transmission techniques, data coding and error control, Local Area Networks, Data-Link layer protocols, Internetworking protocols and architectures, Transport layer protocols, circuit / packet switching, optical networks, network security and cryptography, etc. Emphasis is given to protocols, algorithms, architectures and performance analysis. The unit further targets: a) to enhance the graduate students’ comprehensive, analytical and critical thinking, by exposing them to advanced research paper work and investigation of the revolutionary developments in the telecommunications sector and b) to provide the students with practical experience on inter-related networking issues and improve their synthetic and analytic capabilities, by means of network analysis project. Moreover, the student will be engaged in the network modelling process.

Information Security Engineering

This unit introduces the field of information security as an important area of advanced computer science and provides a broad overview of information security. The course will provide a solid theoretical foundation, as well as real-world examples, for understanding computer security. Fundamental theoretical results, foundational models, and salient examples will be covered. Security in computer systems will be covered, with emphasis on applied cryptography.

Students can expect to leave the class with an understanding of the theoretical underpinnings for information and computer security, an appreciation of the strengths, weaknesses and limitations of the major theories, and an understanding of the application of computer security theory to real-world systems.

Human Computer Interaction / User Experience

This unit intends to introduce students to Human Computer Interactions (HCI) principles and how they can be applied in the software development process. Specifically students see what usability is and how it can be measured, how HCI can be used in all phases of the software development process, and how HCI can be used to evaluate the usability of a software system. Finally they are taught a systematic method for designing usable UIs.

Software Development for Mobile Devices

This unit is concerned with the design, implementation and testing of applications for mobile devices using iOS and android operating systems. Students work at all stages of the development life-cycle from inception to testing, whilst considering usability and device capabilities for a mobile application capable of meeting a functional specification.

Students are introduced to the programming environment for application development and have a hands-on approach to programming using appropriate programming languages.

2nd semester

PATHWAY MODULES

Business Intelligence

Business intelligence (BI) systems are applications and technologies for gathering, storing, analyzing, and accessing information for better business decision-making. The application areas of such systems include measuring and monitoring key performance indicators, benchmarking and forecasting sales, performing data mining and analysis of customer information. The course introduces to students the complete life cycle of implementing and managing BI and analytics systems. Students are introduced in a gradual manner the various phases and complexities in building and supporting successful BI and analytics systems.

Big Data

This unit explores a range of the most relevant topics that pertain to contemporary analysis practices, technologies and tools for Big Data environments. The analysis of Big Data is not just the analysis of very large data sources, even though this is part of it. Typically data comprises four aspects, Volume, Velocity, Variety, and Veracity.

This unit addresses these aspects and challenges of Big Data Analytics by introducing data mining algorithms which can be executed on a computer; the introduction of data stream mining techniques and algorithms for the analysis of high velocity data; the introduction to analysis techniques for unstructured data such as micro-blogging data and social network data; and the introduction of scalable recommender systems. Introduction to software systems used for Big Data Analytics is also an integral part of the unit.

Data Analytics

INFORMATION + PREREQUISITES
STARTING DATES

1st semester (October)
2st semester (February)

DURATION

2 Years (Part Time)

LANGUAGE OF INSTRUCTION

English

SCHEDULE

Block teaching: Two weekday evenings per week and two Saturdays per semester

PREREQUISITES FOR ENROLLING

Candidates should hold an undergraduate degree in Computer Science, Computer Engineering, or any other related ICT discipline.

Proof of fluency in English is provided by showing:

  • CAE: Grade A or B or
  • IELTS: Grade 6.5 or above or
  • TOEFL (paper based 575 / internet based 89-90) or
  • Equivalent or Higher Qualification

Candidates who have completed their Bachelor’s studies or their higher secondary education through the medium of the English Language are not required to hold an English language qualification.

Data Analytics

FORM OF INTEREST

Complete the following form and we will contact you to discuss all the details concerning MSc in Advanced Software Engineering – Data Analytics.

I have read and accept the terms of use and privacy policy