Applied Data Science MSc

Overview

Data scientists are responsible for the handling of raw data, analysing it, identifying patterns and presenting insights in a manner that is useful for forecasting and predicting business problems. The data science field uses mathematics, statistics, machine learning, a range of computer science disciplines and a common toolset such as Python, SQL, and R.

Course Structure

Core Modules

• Artificial Intelligence Ethics and Applications
  • Gain a deep insight into the business applications of artificial intelligence (AI) and data science (DA).
  • Explore a range of AI and DS applications such as chatbots, virtual assistants, medical diagnosis, biometric recognition, personalisation, fraud detection and autonomous machines, and analyse both the risks and opportunities of applying AI and DS techniques in these areas.
• Big Data and Business Intelligence
  • Develop your ability to design and implement database, big data and analytics applications to meet business needs.
  • Investigate the issues and technologies associated with implementing and supporting large scale databases and the services that are needed to maintain and access a repository of data.
• Computing Masters Project
  • Undertake a major, in-depth, individual study in an aspect of your course.
  • Normally computing master’s projects are drawn from commercial, industrial or research-based problem areas.
• Data Science Foundations
  • Gain an introduction to core data science concepts and tools, focusing on real-life data science problems with practical exposure to relevant software.
• Interactive Visualisation
  • Dynamic, interactive visualisations enable the reader to explore the data for themselves through a variety of perspectives.
  • Using an interactive graphic the reader can zoom in on sections of the data which are of interest, explore more than one dimension at a time, and sort and filter to discover new patterns and themes within the data.
• Machine Learning
  • Machine learning is a subfield of computer science concerned with computational techniques rather than performing explicit programmed instructions.
  • You build a model from a task based on observations in order to make predictions about unseen data.
• Software for Digital Innovation
  • Gain an introduction to the Python programming language and its application to solving problems in digital innovation.

Advanced Practice (2 year full-time MSc only)

• Internship
  • The internship options are:
    • Vocational: spend one semester working full-time in industry or on placement in the University.
    • Research: develop your research and academic skills by undertaking a research internship within the University.

How You Learn

• You learn concepts and methods through lectures, labs and tutorials using case studies and examples.
• Lectures include presentations from industry guest speakers.
• Critical reflection is key to successful problem solving and essential to the creative process.
• You develop reflective practice at an advanced level, then test and assess solutions against criteria through research.

How You Are Assessed

• You are assessed on your subject-specific knowledge, cognitive and intellectual skills and transferable skills applicable to the workplace.
• The assessments include assignments, tests, case studies, presentations, research proposal and literature review, and a dissertation.
• The assessments may include individual or group essays or reports.

Entry Requirements

• Normally a first degree (2.2 minimum), relevant experience or equivalent qualifications.
• Any first degree subject is considered excluding BSc (Hons) Computer Science, BSc (Hons) Artificial Intelligence and BSc (Hons) Data Science.
• In addition, international students will require IELTS 6.0 or equivalent.

Employability

Career Opportunities

• The increasing need to leverage big data has motivated many industries to hire data scientists to predict the outcomes and provide meaningful interpretations.
• Companies hiring data science professionals include American Express, AstraZeneca, BBC, IBM, Mastercard, Rolls Royce, Space Ape Games, Warner Bros. Entertainment, WhatsApp, plus many more.

Work Placement

• Students on the two-year full-time route complete a 60 credit Advanced Practice module.

Information for International Applicants

Qualifications

• International applicants - find out what qualifications you need by selecting your country.

Professional Accreditation

• This degree is accredited by British Computer Society (BCS), The Chartered Institute for IT, for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional.

Fees

Full-time

• Fee for UK applicants: £8,365 a year
• Fee for international applicants: £17,000 a year

Part-time

• Fee for UK applicants: £930 for each 20 credits

Duration

Full-time

• 1 year or 2 years with Advanced Practice

Part-time

• 3 years

Attendance

Full-time

• Typically one day a week

Part-time

• Typically one day a week

Start Date

• September

Semester Dates

• Available on the university website

Why Choose Teesside

• Stand out from other job applicants with your higher level qualification, specialist knowledge and expanded networks.
• Improve your project management, critical thinking, research skills, time management, presentation skills and teamwork.
• The median salary for working-age postgraduates (£45,000) was £6,500 more than for working-age (those aged 16 to 64) graduates (£38,500) in 2022.
• Study in our friendly town-centre campus with £280m of recent investment.
• Study at Europe's first Adobe Creative Campus and develop your creative and digital skills.

---

Degree Overview (MSc Applied Data Science)

---

Overview:

• Meets the growing demand for data scientists
• Equips graduates with the skills to analyze big data and solve real-world problems
• Offers both one-year and two-year options, including the possibility of an internship for the latter
• Prepares graduates for careers in a wide range of industries, including finance, technology, and healthcare

---

Objectives:

• Develop skills in analyzing and interpreting data
• Gain expertise in machine learning, artificial intelligence, and software development
• Learn advanced research and critical thinking skills
• Become proficient in using industry-standard software tools like Python and SQL

---

Description:

• Covers fundamental data science concepts, including data preparation, visualization, and analysis
• Deep dives into specific areas like machine learning, artificial intelligence, and data visualization
• Includes a major research project, allowing students to apply their learnings to a real-world problem
• Offers an optional internship to gain hands-on experience and professional skills

---

Outline

---

Course Details:

• Combines lectures, labs, and tutorials for learning
• Features guest speakers from industry
• Includes individual and group assessments, research proposals, and a dissertation
• Offers both traditional and research internships (two-year program)

---

Modules:

• Artificial Intelligence Ethics and Applications: Explores the business applications of AI and data science, including ethical considerations
• Big Data and Business Intelligence: Develops skills in designing and implementing database and big data applications
• Computing Masters Project: Conducts in-depth research on various aspects of data science
• Data Science Foundations: Provides an introduction to core concepts with practical applications
• Interactive Visualisation: Covers creating interactive data visualizations using javascript libraries like D3js
• Machine Learning: Explores fundamental theories and techniques of machine learning
• Software for Digital Innovation: Introduces the Python programming language and its applications in digital transformation

---

Program Structure:

• Traditional Route (One Year): Focuses on core data science modules
• Advanced Practice Route (Two Years): Includes an additional 60-credit internship module

---

Assessment

• Assesses subject-specific knowledge, cognitive skills, and transferrable skills
• Utilizes a variety of formats, including assignments, tests, case studies, presentations, research proposals, and a dissertation
• May include individual or group work
• Considers presentation and report writing skills

---

Teaching

• Blended learning approach with face-to-face and online sessions
• Emphasis on critical reflection and problem-solving
• Opportunity to network with industry professionals through events like ExpoSeries

---

Careers

• High demand for graduates in various industries, including finance, technology, and healthcare
• Median salary in the UK for data science professionals is £65k; top 10% earn upwards of £100k
• Career possibilities include data scientist, data analyst, machine learning engineer, and research scientist

---

Other

• Program has close links with industry partners, providing internship opportunities
• Located in a friendly town-centre campus with recent investments of £280 million
• Offers a postgraduate scholarship of £10,000 for Artificial Intelligence and Data Science studies
• Emphasizes the development of critical thinking, research, and project management skills

---

Tuition Fees and Payment Information:

---

Full-time

• UK applicants: £7,365 a year
• UK applicants with Advanced Practice: £4,770 a year
• International applicants: £17,000 a year
• International applicants with advanced practice: £10,000 a year

---

Part-time

• UK applicants: £820 for each 20 credits

Teesside University

---

Overview:

Teesside University is a public university located in Middlesbrough, Tees Valley, England. It is known for its strong focus on student experience, research, and business partnerships. The university has invested heavily in its campus, offering modern facilities and a vibrant learning environment.

---

Services Offered:

Teesside University provides a wide range of services to its students, including:

Undergraduate and postgraduate study:

Offering a diverse selection of programs across various disciplines.

Short courses and CPD:

Providing opportunities for professional development and upskilling.

Online learning:

Delivering flexible and accessible learning options.

International student support:

Providing dedicated services for international students.

Career services:

Offering guidance and support for career planning and job searching.

Student support services:

Providing academic, personal, and financial support to students.

Library and IT facilities:

Offering access to extensive resources and technology.

Accommodation services:

Providing on-campus and off-campus accommodation options.

Sports and recreational facilities:

Offering a variety of sports and leisure activities.

---

Student Life and Campus Experience:

Teesside University prides itself on its close-knit and supportive community. Students can expect a vibrant campus life with:

Social events and activities:

Offering opportunities to connect with fellow students and engage in extracurricular activities.

Student societies and clubs:

Providing platforms for students to pursue their interests and develop their skills.

Campus facilities:

Including a modern library, sports facilities, and a variety of dining options.

A welcoming and inclusive environment:

Fostering a sense of belonging and diversity.

---

Key Reasons to Study There:

Affordable excellence:

Offering a high-quality education at a competitive price.

Gold rating in the Teaching Excellence Framework (TEF):

Recognized for its outstanding teaching and student experience.

World-leading research:

Conducting impactful research across various fields.

Strong industry partnerships:

Providing opportunities for students to gain practical experience and develop valuable connections.

Vibrant and supportive community:

Offering a welcoming and inclusive environment for students to thrive.

---

Academic Programs:

Teesside University offers a wide range of academic programs across six schools:

School of Arts & Creative Industries

School of Computing, Engineering & Digital Technologies

School of Health & Life Sciences

School of Social Sciences, Humanities & Law

Teesside University International Business School

University departments

---

Other:

Campus Masterplan:

Teesside University has invested £280 million in its campus to enhance the student experience and support the local community.

Strong commitment to equality and diversity:

Recognized as a top employer for its commitment to inclusivity.

Nationally recognized for its services to business:

Providing impactful partnerships with local and global organizations.

Located in a vibrant and affordable region:

Offering a unique blend of urban and rural experiences.