Develop your skills in AI, machine learning, and data science for the energy sector.
This online course introduces you to the fundamental and applied aspects of artificial intelligence (AI), machine learning, and data science for the petroleum industry.
Join us online and you’ll learn to use AI and data science tools to develop and optimise sustainable subsurface petroleum production systems.
Enhance your data skills
- Explore the use of data from digital sensors, digital twins, and other digital domains for a range of oil field operations.
- Build your skills in data science, data management and data analytics.
- Learn how we can derive field operational efficiency from data utilisation.
Ethics and sustainability
You’ll also consider the ethics around the use of these tools, and how they can help in the drive towards a low-carbon and net-zero energy future.
Who can join this online course?
This distance-learning course is designed for:
- petroleum engineers
- geoscientists
- energy engineers, and
- oil and gas industry professionals.
Build credits towards a Masters degree
This online course is part of:
You can use the credits you earn with this short course towards any of these MSc qualifications.
What you’ll study
In this course, you’ll study the fundamental and applied aspects of AI, machine learning, and data science for petroleum industry practitioners.
You’ll learn how to optimise sustainable subsurface petroleum production using AI and data science tools.
You’ll cover a range of AI, machine learning, and data science topics across the course.
AI and machine learning topics
- Core AI concepts, including deep learning, machine learning, and neural networks.
- Application of AI across multiple domains, such as natural language processing (NLP), computer vision and robotics, and how these techniques drive innovation in the petroleum industry.
- Introduction to generative AI models, including large language models (LLMs) and their capabilities.
- Evaluating the transformative impact of AI on oil and gas operations processes.
- AI ethics, governance, regulations, and prevalent concerns and issues surrounding the evolution of AI within the industry.
Data science topics
- How data science is used to gather, clean, organise, and analyse data in order to extract helpful insights and predict expected outcomes for the petroleum industry.
- How big data generated in the industry can be used effectively as part of predictive maintenance, oil and gas production management, and monetisation of petroleum exploration and exploitation processes.
- The use of data obtained from sensors, digital twins, and other digital domains during seismic acquisition, drilling, wireline and logging operations, well testing, reservoir surveillance, production, and other oil field operations.
By the end of this course, you’ll be able to...
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Describe what AI and data science is and explain the core concepts relating to the petroleum industry.
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Assess how AI, machine learning, and data science application in the petroleum industry can transform operational processes.
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Import and clean data sets, analyse and visualise data, and build machine-learning models using data scientists’ tools and languages, such as Python and SQL.
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Evaluate the ethical issues, limitations, and legal and legislative concerns surrounding AI.
Choose the University of Aberdeen for online AI and machine learning courses
Fits around full-time work
This online course fits around work, with flexible hours and 24/7 study access.
You’re in expert hands
We’ve been training world-class engineers for over 100 years and delivering online learning for decades.
20% alumni discount
University of Aberdeen alumni get 20% off fees for this online course.
How you’ll study
Online learning
This distance-learning AI and machine learning course is delivered flexibly, 100% online.
You can learn with us anywhere in the world, no student visa required, and manage your study hours to suit you.
Your teaching
This course is taught at Masters level.
Teaching is delivered through MyAberdeen, our online Virtual Learning Environment (VLE). It holds all the materials, tools and support you’ll need in your studies. Take a look around MyAberdeen.
You can access your learning materials on computer, smartphone and laptop, 24 hours a day. You’ll find a range of resources available, including:
- pre-recorded video lectures
- online tutorials
- reading materials
- discussion boards with your tutors and peers
- online access to our award-winning Sir Duncan Rice Library.
Your tutors
This course is delivered by our School of Engineering.
You’ll learn from an internationally experienced team of petroleum industry experts, academics, and researchers.
This course is assessed online.
You’ll be assessed throughout your studies via:
- a group design project (worth 60% of your final course grade)
- an individual design project (worth 40%).
The course totals approximately 150 hours of study and assessment time. That’s around 10 – 15 hours per week.
This is an indicative guide to the time required for a typical student at this level to achieve the learning outcomes. This includes time for independent study, as well as teaching and assessments.
You can largely set your own study hours each week to cover the materials. MyAberdeen is available 24/7, so you can log in and study when it suits you.
Activities with deadlines
There will be some activities scheduled at fixed times, such as assessments with deadlines, or meetings with your tutor. But otherwise, you can access and work through the course at your convenience.
Our first-class support structure will ensure that you aren’t alone in your studies. You’ll have contact with your coordinator via email, MyAberdeen and Microsoft Teams. You can use social media and discussion boards to chat with your fellow students too.
We provide a wide range of services to support you in your studies and beyond:
- Careers and Employability Service
- Disability support
- IT support
- Library support
- Student Support Service – help with finances, wellbeing and non-academic issues
- Student Learning Service – study support, with advice sessions available
- Aberdeen University Students’ Association (AUSA) – run by students for students
- Toolkit – clever apps and free training that can make your study life easier
Wherever you are in the world, you’ll feel part of our very special Aberdeen learning community.
Your course coordinator
Dr Lateef Akanji
Lateef is a Senior Lecturer in Petroleum Engineering at the University of Aberdeen.
He conducts research in theoretical, experimental and computational fluid flow dynamics.
Lateef’s current research focuses on the application of AI in petroleum and alternative energy applications.
View Lateef’s profileWhere this will take you
Towards a Masters
You’ll earn 15 credits at Masters level (SCQF Level 11) with this course. You can use these credits towards our online:
Masters in Oil and Gas Engineering
Join an accredited online Masters degree delivered from the Energy Capital of Europe. Master the skills and technologies you need to pursue a career in the upstream and downstream oil and gas industry.
View MSc Oil and Gas Engineering
Masters in Petroleum Engineering
Become a world-class petroleum engineer, ready to take up roles in the upstream oil and gas industry. Join our accredited online MSc in Petroleum Engineering, designed in partnership with industry.
View MSc Petroleum Engineering
Masters in Subsurface Energy Engineering
Develop the advanced skills in energy engineering, geo-energy resources and storage that you need to work with subsurface energy systems.
View MSc Subsurface Energy EngineeringBuild your learning
We offer a range of specialist online engineering and technology courses you can use to build your skills.
Many carry credits you can build up into postgraduate qualifications, including Masters degrees:
Careers
In-demand skills for the energy sector
In this course, you’ll develop a range of skills that are highly sought after across the energy sector, including skills in:
- computing
- data science, data management and analytics
- AI, machine learning and design
- coding and software development.
Career paths
Successful completion of this course can help you to progress within the oil and gas industry, energy industry, and other related disciplines where application of AI, data science, and machine learning are relevant.
Roles this course can help you progress within or towards include:
- Petroleum Data Scientist
- Intelligent Systems Engineer
- Intelligent Automation Engineer
- Energy Systems Engineer
- Petroleum AI expert.
Continuing Professional Development (CPD)
Your employer or professional institute may recognise this course for CPD hours. Talk to your employer or institute to find out more.
Free career support
Access our free careers service while you study.
- 1:1 appointments
- CV checks
- Interview prep
- Job opportunities
Entry requirements
Entry requirements
We welcome students from all over the world.
This course has no formal entry requirements. You do not need to provide proof of your qualifications.
But you do need to check the entry guidance above to understand the level of teaching delivered, to decide if this course is right for you.
If you do not have qualifications from the UK, check the equivalent teaching level for your country.
Visa requirements
You do not need a student visa to study online with us.
English language requirements
Teaching is delivered in English.
You do not have to provide proof of your English language skills to join this course. But we want to make sure that you can use English well enough to study successfully.
Recommended level of English
For this course, we recommend the following level of English language proficiency.
These are our Postgraduate Standard requirements, and these are minimum scores.
IELTS Academic, IELTS UKVI Academic, or IELTS Online (not IELTS Indicator or IELTS General Training)
- 6.5 overall
- 5.5 for listening, reading and speaking
- 6.0 for writing
TOEFL iBT or TOEFL iBT Home Edition
- 90 overall
- 17 for listening
- 18 for reading
- 20 for speaking
- 21 for writing
- TOEFL DI code is 0818
Cambridge English: B2 First, C1 Advanced, or C2 Proficiency
- 176 overall
- 162 for listening, reading and speaking
- 169 for writing
LanguageCert Academic / LanguageCert Academic SELT
- 70 overall
- 60 for listening, reading and speaking
- 65 for writing
Oxford ELLT Digital – English Language Level Test Online
- 7.0 overall
- 5.0 for listening, reading and speaking
- 6.0 for writing
PTE Academic (online test not accepted)
- 62 overall
- 59 for listening, reading, speaking and writing
Skills for English: SELT
- B2 pass with merit
Duolingo – tests taken from 1 July 2024 onward
- 120 overall
- 95 for listening, reading and speaking
- 105 for writing
University of Aberdeen English Pre-sessional Programme (PSE)
- Pass
- Valid for one year. Refresher can be offered if out of date
Pre-sessional academic English preparation programmes undertaken at other UK universities
- Pass at an equivalent of 6.5 (C1)
- B2 in all four skills
- Certification must be within one year prior to the start of your course
For full information about language requirements, see our English Language Requirements page.
You will need access to:
A computer (PC, laptop or Mac) with an up-to-date operating system
Most teaching materials are smartphone- and tablet-friendly. But we recommend a proper laptop or desktop for completing assignments comfortably.
Reliable internet access
We recommend:
- a wired connection
- a minimum download speed of 2 Mbps so you can take part fully in live sessions.
Speakers or headphones
- We recommend a headset with built-in microphone and earphones if you’re likely to study in an environment with background noise.
- A webcam is optional, but you may like to use one for some interactive sessions.
Software
We’ll give you access to Office365 applications. This means you can use online versions of Microsoft Word, Excel, PowerPoint and OneDrive and install these programs on up to five personal devices.
If your course requires specialist software, we’ll provide you with access to this and a licence that lasts throughout your studies.
See our detailed IT requirements for more information.
When you study with us, you can expect a first-class support structure so that you’re never alone in your studies.
But learning online does mean you have to motivate yourself and manage your own time.
Your most important commitment will be time – the time to work through, reflect on and understand your teaching materials.
Before you start a course that involves a high degree of independent study, we recommend looking at the time you will be able to devote to your studies each week:
- Be realistic
- Create a weekly schedule as a guide
If you have any questions about studying online, get in touch with our friendly team. We’re here to help.
Fee payment
Your course fee needs to be paid in full before you start your course.
We accept payment via Visa Debit, Visa Credit and Mastercard.
Ways to save
You may be able to get help funding this course via:
- discounts – if any discounts are available for this course, they’ll appear in the section below
- employer sponsorship – we accept full and partial fee payments from sponsors.
Find out more about funding options.
Student card
All our students are entitled to a University of Aberdeen student card. This gives you access to a range of student discounts around the city and online.
Learning resources
Access to all the essential books and resources you need are included in your tuition fee. They’ll be made available to you online and you do not have to buy your own copies.
We also provide optional recommended reading lists. Many of these resources are available electronically through our library, although purchases may be required if you wish to read the full list.
Printing
You may want to set aside a small budget for printing, depending on how you like to work.
This course has no formal entry requirements. You decide if it’s suitable for you.
The course is delivered at Masters level. At this level, you’d usually have at least:
- a 2:2 UK honours degree (or equivalent) in a relevant subject, or
- relevant professional experience that supports this level of learning.