BSc (Hons) Data Science Bachelor's degree at Essex Online

Develop the fundamental skills required to engage in research activities, project management and professional conduct. This module incorporates relevant themes – including how to adopt sustainable development goals, minimise impact and promote social responsibility. You'll also begin building your entrepreneurial skills and understanding of research methodologies through theoretical discussion, practical exercises and real-world case studies.

How do maths and statistics affect decision making in sustainable practices? Find out in this informative module. From summary statistics, hypothesis testing and linear algebra, to permutations, probability and parametric and non-parametric tests, you'll cover a range of mathematical and statistical applications. And by the end, you'll have a strong understanding of how they're integral to the role of a computer scientist.

Gain a comprehensive introduction to programming. By writing, testing and debugging through Python, you'll develop a strong understand of coding and the impact on software development. There's also a strong emphasis on inclusive and sustainable software, as you explore the role of software in society and beyond.

Ready to discover the fundamental principles of object-oriented programming (OOP) and their application in software development? From inheritance and polymorphism to encapsulation and abstraction, this module introduces key OOP concepts and techniques, giving you a solid foundation for a future career in computing. There's also a strong focus on sustainability, as you consider resource-conscious software solutions to reduce energy consumption and waste.

Discover how to work with data in this exciting module. You'll analyse the key concepts of SQL – such as relations, keys and normalisation – through the design and implementation of relational databases, ensuring you have a solid understanding of database design principles.

Explore the key technologies underpinning modern big data systems with this in-depth module. You'll gain a solid understanding of the platforms, languages and cloud environments used to collect, store, analyse and visualise large data sets – while considering relevant ethical and security challenges.

This exciting module explains the key role of data mining and machine learning in uncovering patterns, trends and insights. From pre-processing and classification to clustering and regression, you'll explore the full process of data extraction. Practical sessions using common machine learning libraries will also give you a glimpse of real-world scenarios.

How do database systems ensure data is managed effectively? In this informative module, you'll expand your knowledge of Structured Query Language (SQL), the main language used for defining, manipulating and querying data. Not only will you construct and optimise SQL queries, but you'll also use common techniques to solve practical data management challenges.

Build the skills you need to succeed in your future computing career. Following a team-based projects framework, you'll choose a team project that aligns with specific attributes that fit with your chosen topic. That way, you'll develop a strong understanding of various professional competencies and ethical standards in project development.

Did you know data science plays a key role in medicine, climate science and business analytics? Discover the fundamental concepts of this rapidly growing field, as you explore key tools and techniques – as well as ways to analyse both textual and numerical data. By the end, you'll have developed strong analytical skills and be ready to explore various application domains where data science is relevant.

Gain a thorough introduction to cybersecurity with this informative module. Through hands-on exercises and real-world case studies, you'll explore cryptography, user authentication, operating system security, malware forensics and more – ensuring you're well prepared for a career in this sector.

Artificial intelligence is a rapidly growing area – and this module offers an introduction to all facets of AI. You'll explore the methodologies and techniques of search algorithms, knowledge representation and learning mechanisms – as well as the role of AI in computer games and robotics. And at the end, you'll gain an in-depth understanding of systems built upon interacting intelligent agents.

Discover the crucial role of linear programming in decision-making. From network and telecommunication design to operation research, machine learning and data science, you'll learn about all the fields where the principles and techniques of linear programming are used. That way, you'll build essential problem-solving skills to solve real-world challenges in these domains.

Learn how to design and manage efficient and scalable data pipelines. Throughout this innovative module, you'll gain key skills in data ingestion, storage, processing and transformation – helping you develop the entrepreneurial thinking required to deliver scalable solutions.

How do you make complex data simple and visually compelling? Find out in this helpful module. From basic charts to interactive graphics, you'll consider the different ways of presenting datasets to various audiences – while ensuring you deliver with clarity and impact.

Explore the fundamental principles of cloud computing and its application in data science. In this exciting module, you'll start by exploring cloud service models including IaaS, PaaS and SaaS, before moving on to manage data science workflows such as data ingestion, preprocessing, model training and deployment.

Discover how to design energy-efficient information retrieval (IR) systems in this inspiring module. You'll learn all about the theoretical foundations of IR systems – such as text processing, indexing and querying – while considering how to minimise the carbon footprint of digital information processing during design and development. That way, you'll have a strong understanding of the role IR systems in building environmentally responsible systems that drive social and economic value.

How do computer programs perform everyday language tasks? Find out in this exciting module. You'll be introduced to the three fundamental concepts of natural language processing (NLP): understanding the structure and grammar of language; considering language processing tasks that are simple for humans but challenging for computers; and using intelligent computing techniques to solve these challenges.

How do you apply statistical data methods to real-world analysis? Find out in this informative module. You'll analyse a range of advanced statistical techniques – including regression, time series and multivariate analysis – and develop critical thinking skills when applying these to real-world scenarios.

Sensitive data must be handled correctly and this insightful module shows you how. You'll consider the ethical challenges surrounding data management and analyse ethical frameworks, regulatory requirements and decision-making strategies within the field. That way, you can ensure you're always working in line with security and compliance regulations.

Learn how to design, implement and optimise data-driven decision-making systems in this fascinating module. Not only will you build modern data warehouses and dashboards, you'll also learn how to apply business intelligence tools to deliver high quality results for any organisation.

The Capstone project gives you the chance to demonstrate the academic knowledge you've gained throughout your degree. You'll carry out a significant piece of independent research or an extensive practical project – showing off your creativity, innovation, and academic and professional abilities. You'll also carry out meticulous research and present your findings in a professional setting.