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Discover the impact of data analytics

In today’s data-driven world, the ability to interpret and make sense of data is more important than ever. Data analytics helps businesses, governments, and organisations make informed decisions, improve efficiency, and predict future trends.

With industries increasingly relying on insights derived from data, a degree in data analytics prepares you to meet this demand and contribute meaningfully to a wide range of fields, from healthcare to finance and beyond.

Gain industry-leading skills

Earning a degree in data analytics equips you with a robust skillset to thrive in the competitive, data-driven economy. You’ll gain proficiency in widely used tools such as Python, R, and SQL, enabling you to manage and analyse complex datasets. Additionally, you’ll delve into advanced statistical methods, machine learning techniques, and data visualisation, empowering you to turn raw data into actionable insights.

These skills, combined with strong problem-solving and communication abilities, prepare you to provide impactful solutions across diverse industries.

Shape your career with data analytics

  • With a degree in data analytics, you can explore a range of high-demand careers, each offering opportunities to make impactful contributions across industries:

    Data Analyst: Interpret and visualise data to guide decision-making within organisations. Entry-level salaries start around £25,000, with experienced analysts earning upwards of £50,000 per year.

  • Data Scientist: Develop advanced algorithms and predictive models to extract actionable insights from complex datasets. Salaries typically range from £40,000 to £80,000, depending on experience and sector.

  • Business Intelligence Analyst: Analyse business performance data to recommend strategies that drive growth and efficiency. Salaries usually range between £35,000 and £60,000 annually.

  • Machine Learning Engineer: Build and implement systems that adapt and improve autonomously using machine learning techniques. Professionals in this role can expect salaries from £45,000 to £90,000 or more.

  • Data Engineer: Design and optimise systems for data collection, storage, and processing. Salaries typically range from £40,000 to £75,000, with senior roles offering higher compensation.

  • Marketing Analyst: Use data insights to understand consumer behaviours and improve marketing strategies. Salaries generally range from £30,000 to £55,000, with potential for growth in specialised roles.

These roles not only provide competitive salaries but also opportunities to work in dynamic industries like finance, healthcare, technology, and beyond.

Example data analytics modules

Each module in a data analytics degree is carefully crafted to build both foundational understanding and specialised expertise. Common modules include:

Provides an overview of the data analytics process, including data sourcing, preparation, and initial analysis. Students learn the basics of data handling and processing.
Focuses on key statistical techniques such as regression, correlation, hypothesis testing, and probability distributions, which form the backbone of data-driven decision-making.
Introduces programming languages like Python or R, teaching how to write scripts to manipulate and analyse data efficiently.
Covers techniques to present data insights visually using tools like Tableau, Power BI, or Python libraries such as Matplotlib and Seaborn. Emphasis is placed on creating clear and compelling reports.
Introduces supervised and unsupervised machine learning techniques, including algorithms like decision trees, support vector machines, and clustering methods.

How You’ll Study and Tips for Success

Online data analytics degrees are flexible and designed to fit around your schedule. You’ll access video lectures, complete interactive assignments, and gain hands-on experience through virtual labs using real-world datasets and industry-standard tools. Collaboration with peers through discussion forums and group projects ensures a dynamic learning environment, while tutors and advisors provide ongoing support.

To succeed, establish a consistent study routine and stay organised using digital tools like calendars. Actively participate in discussions and practice regularly with datasets and software to build confidence. Set clear, achievable goals to stay motivated and measure your progress throughout the programme.

FAQs

Many of our data analytics degrees offer flexibility in completion. Whether you prefer a more accelerated approach to learning or need to fit your studies around other commitments, click on one of our degrees to find out which might best suit you.
The prices of our degrees reflect the accessibility and affordability of online learning compared to more traditional learning modules. Each degree offers something different, thus each is uniquely priced, so we recommend clicking on a degree that catches your eye to learn more about its cost information.
Yes, online degrees from accredited institutions are widely recognised and valued by employers. They demonstrate your ability to manage self-directed learning while acquiring in-demand skills.