Key Program Features
No Prior Experience
Start your AI OR Tech Career with no prior experience
Real-World Experience
Gain industry insights with practical skills to efficiently tackle day-to-day challenges
Mentorship
Get expert mentorship to build in-demand tech skills and boost earning potential.
Enroll Now, Pay Later
Enroll in our program with enroll now, pay later option with 0% finance
Explore Fortray's Data Scientist Program
Reap the benefits from our Data Scientist Program, including comprehensive skill-building and career advancement in IT industry.
Build a Career in Data Science with Professional Training and Job Search Support
Fortray's Data Scientist Job‑Ready Bootcamp delivers an immersive learning experience, combining industry‑recognised certifications, expert‑led online live training, and career‑focused support. Through hands‑on data science projects, machine learning model development, data visualisation exercises, statistical analysis, real‑world datasets, cloud‑based analytics platforms, and industry‑driven use cases, you'll develop practical, workplace‑ready skills aligned with today's data and AI landscape.
Benefit from CV support, interview preparation, LinkedIn optimisation, and job‑search guidance, plus Fortray's Job Support or Money‑Back Guarantee, subject to eligibility and programme terms.
Data Scientist roles may offer earning potential of up to £40K, with progression towards Senior Data Scientist, Machine Learning Engineer, and AI Specialist positions offering potential earnings of up to £70K+.
Enrol today and take your first step towards a career in Data Science and AI.
Path to Data Professional
- Upskill as a Data Scientist
- Recruitment Support & Career Guidance
- Start a Career in Data Science
- Training & Mentorship to be Lead Data Engineer
Why Choose a Career as an Data Scientist? Because these Latest Trends speak for Unmatched Opportunities and Benefits!
Industry Hiring Demand
Global Job Demand
80% Rise
Expected in the Decade
32% Growth
Unfilled Positions
37% Jobs
Average salary for
Data Scientist
£75k
The Program is designed for Individuals
- Age 18 years or above
- Diploma/Degree in IT OR 1+ year IT Experience.
- Basic computer literacy
- A windows based machine with stable internet
£35K+
Average starting salary
Types of Entry-Level Roles
£55K+
With 3-5 years experience
Types of Mid-Senior Roles
£70K+
With +5 years experience
Types of Senior Roles
Live Instructor-Led
- Skill Building
- Project Based Learning
- Instructor-Led Training
24/7 Lab
- Live With Real Equipment
- Hands-on Learning
- Round the Clock Lab Access
Job Search Support
- CV and LinkedIn Refinement
- Recruitment Support
- Tech & HR Mock Interviews
Career Acceleration
- Mentorship After Job
- Boost Earning Potential
- Career Advancement
Data Scientist Program, Career and Growth Path
Discover comprehensive career development opportunities and growth trajectories in your professional journey.
21 - 26 Weeks (Morning or Afternoon)
Self-study
Watch video-recorded lectures at a time that suits you, before putting what you've learned into practice with challenges.
Live sessions
Join Live sessions either in the morning or afternoon, whichever suits you and ask all your questions to our teaching staff.
Live sessions
Self-study
SQL Certification Course ILT
This module builds strong database querying skills required for data science and analytics roles. Learners will understand how to work with structured databases, retrieve data efficiently, and perform transformations to support reporting, analytics, and machine learning workflows in real-world environments. Duration: 27.4 hours Mode: Instructor-Led + Self-Paced (3.4 hours)
- SQL fundamentals and database concepts
- Writing complex queries and joins
- Data filtering, grouping, and aggregation
- Extracting insights from relational databases
Python Refresher with AI ILT
This module refreshes core Python programming skills with a focus on data science and AI applications. It helps learners strengthen coding fundamentals, work with data libraries, and efficiently prepare datasets for machine learning and artificial intelligence tasks. Duration: 12 hours Mode: Instructor-Led (12 hours)
- Python fundamentals and syntax
- Working with NumPy and Pandas
- Data cleaning and preparation
- Introduction to AI-driven coding practices
Advanced Statistics SPL
This module provides a strong foundation in statistical concepts required for data science and machine learning. Learners will explore probability, hypothesis testing, and statistical analysis techniques used to interpret data and make informed decisions. Duration: 5 hours Mode: Self-Paced (5 hours)
- Probability and distributions
- Hypothesis testing techniques
- Statistical inference methods
- Data interpretation and decision-making
Applied Data Science with Python ILT
This module focuses on applying Python-based data science techniques to analyse, visualise, and prepare data for advanced modelling. Learners will work with real-world datasets to perform exploratory data analysis and derive meaningful insights for business decision-making. Duration: 50 hours Mode: Instructor-Led + Self-Paced (6 hours)
- Data analysis and exploration
- Data visualisation techniques
- Feature engineering basics
- Handling real-world datasets
Machine Learning using Python ILT
This module introduces core machine learning concepts and techniques using Python. Learners will build and evaluate predictive models, understand algorithm selection, and apply machine learning to solve real-world problems across industries. Duration: 50 hours Mode: Instructor-Led + Self-Paced (6 hours)
- Supervised and unsupervised learning
- Model building and evaluation
- Classification and regression algorithms
- Model optimisation techniques
Deep Neural Networks (TensorFlow, Keras, PyTorch) ILT
This module provides in-depth knowledge of deep learning and neural network architectures. Learners will use industry-standard frameworks such as TensorFlow, Keras, and PyTorch to build and train models for complex tasks like image recognition and predictive analytics. Duration: 39 hours Mode: Instructor-Led (39 hours)
- Neural network fundamentals
- Deep learning architectures
- Model training using frameworks
- Advanced AI applications
Microsoft Power BI with AI-Assistance ILT
This module teaches learners how to use Power BI along with AI-driven features to create interactive dashboards and generate insights. It focuses on business intelligence, data storytelling, and using AI capabilities to enhance analytical outcomes. Duration: 23.4 hours Mode: Instructor-Led + Self-Paced (2.4 hours)
- Power BI dashboards and reports
- Data modelling and transformations
- AI-powered insights in Power BI
- Data storytelling techniques
Data Science Capstone ILT
This capstone module allows learners to apply all acquired data science and machine learning skills in a real-world project. It focuses on practical implementation, data analysis, model development, and presenting insights to simulate real business scenarios. Duration: 8 hours Mode: Instructor-Led (8 hours)
- End-to-end data science project
- Data analysis and modelling
- Business insights generation
- Presentation of results
Applied MLOps ILT
This module introduces MLOps practices to operationalise machine learning models in production environments. Learners will understand deployment, monitoring, and lifecycle management of machine learning solutions in scalable systems. Duration: 8 hours Mode: Instructor-Led (8 hours)
- MLOps fundamentals
- Model deployment strategies
- Monitoring and maintenance
- CI/CD for machine learning
End-to-End MLOps with Azure Machine Learning SPL
This module provides hands-on understanding of implementing MLOps workflows using Azure Machine Learning. Learners will explore model training, deployment, and monitoring in a cloud-based environment, enabling scalable AI solutions in enterprise scenarios. Duration: Self-paced Mode: Self-Paced
- Azure ML workflows
- Model deployment in cloud
- Monitoring and automation
- End-to-end ML lifecycle
Career Support & Recruitment Guidance
Our recruitment and career support services help you prepare for opportunities in the tech & AI industry. Through tailored guidance, personal branding, and interview preparation, we support you in building a strong professional profile and confidently navigating the job market.
Personal Branding
Enhance your brand with a resume revamp, LinkedIn optimization, and portfolio development.
1:1 Coaching
Master technical and HR questions, get tailored advice and refine job search in 1:1 session.
Hiring Partners
Connect with 1,000+ hiring partners through our extensive network & exclusive partnerships.
Get Job Ready
Build Tech and AI skills within six months with expert support and terms-based money-back option.
Mentorship Session
To ensure your career success, we provide a post-placement mentorship session. You'll be paired with an industry expert who will offer tailored guidance, support, and insights to help you excel in your new role.
How It Works
After securing a job through our Program, you qualify for a mentorship session. You'll be paired with a mentor aligned with your career goals to guide you in your new role, address challenges, and offer insights to help you quickly advance your salary.
Benefits of Mentorship
- Gain valuable insights
- Personalised guidance
- Develop winning strategies
- Succeed in your role
- Accelerate career growth
- 5 years career roadmap
Who Can Participate
Our mentorship session is for candidates who have completed Fortray's Job or Money Back Guarantee Program . Whether you're a recent graduate or a seasoned professional, you'll receive invaluable support to excel in your new role.
Master in Generative AI (During Recruitment) ILT
This module explores advanced generative AI concepts, including large language models and real-world enterprise use cases. Learners will gain insight into how generative AI is shaping modern applications and how to leverage it in business environments. Duration: 6 hours Mode: Instructor-Led (6 hours)
- Advanced generative AI concepts
- Real-world AI applications
- Prompt engineering techniques
- AI implementation strategies
Machine Learning for AI in Microsoft Fabric SPL
This specialised module introduces machine learning capabilities within Microsoft Fabric. It focuses on integrating data engineering, analytics, and AI workflows into a unified platform to build scalable and efficient enterprise-grade AI solutions. Duration: Self-paced Mode: Self-paced
- Microsoft Fabric overview
- ML integration with data platforms
- Data pipelines and analytics
- Enterprise AI workflows
Pass Exam
Tableau
Get Experience
12 Months Plus
Career Goal
Data Scientist
Pass Exam
Tableau
Get Experience
12 Months Plus
Career Goal
Data Scientist
9/10 of our learners achieve their learning objectives after successful completionProcess Advisors
Why Choose Fortray?
You put in the hard work. We back your career journey.
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8X higher interaction in live classes than in self-paced
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Taught by industry experts with over 2 decades of experience
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Structured approach by active practitioners
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Flexibility to choose between self-paced or online learning
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Access to recorded sessions for review and reinforcement
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Access 200+ IT qualifications
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Comprehensive IT Programmes by industry experts
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Updates course content to reflect industry trends
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Practical, hands-on learning experiences
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Mentorship Programmes for personalised guidance
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0% interest flexible payment plans
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Available for 12 to 60 Months (T&C Apply)
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Transparent pricing with no hidden fees
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Payment deferral options for financial flexibility
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Easy online application process
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Real-world projects and data sets
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Hands-on learning with physical and virtual labs
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Internship opportunities with partner companies
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Access to industry events and conferences
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Case studies and success stories from alumni
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Professional CV and LinkedIn profile guidance
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Interview preparation with recruitment professionals
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Mock interviews and feedback sessions
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Alumni network for ongoing career support
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Career support and job search guidance
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Build skills for higher-earning opportunities
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Develop your career over time based on experience and skills
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Enhance skills for long-term career progression
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Dedicated career counselling and goal-setting sessions
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Networking opportunities with industry professionals
Data Scientist Bootcamp – Flexible Payment Options
Fortray offers flexible payment options for diverse backgrounds and schedules
Full
- Regular Payment: £3999
- Upfront: £3799
- Saving: £200
- Monthly: 0
- A project-based curriculum
- Dedicated mentor & tutor
- Job Search Support
- Professional portfolio
- Career growth mentorship
Half
- Regular Payment: £3999
- Upfront: £1950
- Saving: £100
- Monthly: £177
- A project-based curriculum
- Dedicated mentor & tutor
- Job Search Support
- Professional portfolio
- Career growth mentorship
Partial
- Regular Payment: £3999
- Upfront: £400
- Saving: £0
- Monthly: £327
- A project-based curriculum
- Dedicated mentor & tutor
- Job Search Support
- Professional portfolio
- Career growth mentorship
Need More Flexibility?
To help you along your way, we can help you set up a customizable payment plan. Just book a call, we’ll provide you with the details!
Let's Arrange a CallData Scientist FAQs
Our Programs are open to anyone who meets the basic eligibility criteria. No specific technical skills are required to join.
The career growth curriculum can be obtained only after getting a job. To learn further about the requirements, feel free to contact our team.
Yes, applicants must be 18 years old or above to be eligible for our Programs. Alternatively, if the applicant is under 18, a parent or legal guardian must apply on their behalf.
Yes, international students can apply, provided they meet the visa requirements that allow them to work full-time for at least one year and have working rights or a visa that permits work upon completion of the Program.
International students must have a visa that allows them to work full-time for at least one year or more upon completion of the Program. Tier-4 or PSW (Post-study work visa or Graduate Visa) required.
No, technical skills are not required to apply for our Programs. We welcome applicants from all backgrounds and provide the necessary training.
There are no specific academic prerequisites for our Programs. Our courses are designed to be accessible to individuals without prior technical knowledge.
No entrance exams or tests are required to join our Programs. Our admission process is straightforward and based on meeting the basic eligibility criteria.
No, work experience is not required for admission to our Programs. We welcome applicants from all backgrounds, including those without prior work experience.
All our Programs are conducted in English. Proficiency in English is necessary to ensure you can follow the course material and participate effectively.
For more information about eligibility, please contact our admissions office at info@fortray.com or call 020 7993 4928. Our team is happy to assist you with any questions you may have.
The Fortray Data Scientist Job search support Program is designed to help individuals secure jobs in the Cloud field by providing training, certification, career services, Job search support, and mentorship. The roadmap includes Enrollment and Training, Certification, Career Services, and Job search support.
You need to pass one certification exam at any proctored environment at a Pearson VUE® Authorized Test Center:
- Tableau certification exam (voucher is not included) or
- AWS Machine Learning Specialist
No, the voucher for the Tableau certification exam is not included.
The Job Search Support process kicks off right after you complete the training (skills) and ace your required certification exams.
Once you pass the Tableau certification exam, you reach out student support team.
The Data Scientist Job search support Program can be completed in 4 weeks if you choose the full-time option or 12 weeks as part-time and 24 weeks as self-paced. After training, the Job Search Support process usually takes around 16 weeks.
Full details of the programme requirements, eligibility criteria, job search support services, and Tuition Money-Back Guarantee provisions can be found in our Terms and Conditions.
The Data Scientist Job search support Program has three options: Regular, which spans 4 weeks, and Fast Track, which spans 12 weeks and Self-Paced which spans 18-24 weeks.
Yes, the Job Search Support Program has specific start dates for both Full-Time and Part-Time options. Please refer to our Program schedule for the upcoming start dates.
The Job Search Support Program follows a structured schedule with planned breaks and holidays. These details will be provided to enrolled participants prior to the start of the Program.
Switching between the Full-Time and Part-Time Job Search Support Programs is subject to availability and Program policies. Requests for such changes should be discussed with our Program coordinators.
Any missed sessions or absences may affect the Program duration. However, recorded videos of live sessions are provided for review. Please inform our Program coordinators in advance if you anticipate any absences.
The Part-Time Job Search Support Program follows a predetermined schedule to ensure consistency and effectiveness. Participants are encouraged to plan their schedules accordingly to accommodate the Program sessions.
We accept various payment methods, including credit/debit cards, bank transfers, direct debit, and online payment platforms like PayPal.
No, there are no additional fees for using our payment plans. The total cost remains the same, except for the upfront payment discounts offered.
Refund policies vary depending on the Program. Please refer to our Refund Policy for detailed information on eligibility and the refund process.
Yes, there is a 10% discount for paying 100% upfront. Additionally, a 5% discount is offered for paying 50% upfront, with the remaining 50% spread over 10 monthly installments.
We offer three payment plans:
- 100% Upfront: Pay the entire amount upfront and receive a 10% discount.
- 50% Upfront: Pay 50% of the total cost upfront and receive a 5% discount. The remaining 50% is paid over 10 monthly installments.
- 20% Upfront: Pay 20% of the total cost upfront with no discount. The remaining 80% is paid over 10 monthly installments.
If you miss an installment payment, please contact our finance department immediately to discuss your situation and find a solution. Late payments could result in suspension of your enrollment until the payment is made.
Yes, you can pay off the remaining balance early without any penalties. Please contact our finance department to arrange early repayment.
Installment amounts are calculated by dividing the remaining balance after the upfront payment by the number of months in the payment plan (10 months).
For any questions regarding payments and billing, please contact our finance department at accounts@fortray.com or call +4420 7360 3841
There are no certain prerequisites for becoming a data scientist, however, a grasp of computer sciences, mathematics and statistics is helpful at the core level.
A data scientist develops predictive models for forecasting and theorizing.
To become a data scientist, the candidate can be from a non-IT background but must have a passion for mathematics and computer science with an emphasis on statistical data to form predictive models.
A data scientist must have core skills in mathematics, computer science, programming, statistics, critical thinking, machine learning, data visualization, and effective communication.
Becoming a data scientist is a long but fruitful journey where you must have the passion to make it all the way. At Fortray, we offer you some very helpful resources that can help you in the long run.
As a data scientist, one must have a thorough understanding of the management and technical side of the business. Not all businesses consider data science as an IT Job but IT infrastructures and resources can ease this job and improve efficiency.
As a data scientist, you must have a know-how of programming languages, cloud computing infrastructures and data mining programs.
The most common challenges any data scientist faces are information privacy, data quality, undefined KPIs and metrics, data cleansing and multiple data sources.