FourthRev Avis 

Really enjoyed this course. The material was clear, practical, and easy to follow, and it wasn’t just theory for the sake of it. I was able to apply what I learned directly in my day-to-day work in highway asset management, which made a big difference. Definitely a worthwhile course and one I’d happily recommend.

I recently completed the Data Science with Machine Learning and AI program at the University of Cambridge coordinated by FourthRev. The program is well-structured, but only worth it if you can commit full time. This is supposed to be a 20-hour-per-week program, but you won't be able to go deep enough in that time. The problematic part is the FourthRev component. I do not understand why the University of Cambridge allows this external institution to run the program. Their practices are borderline fraudulent, and I find it hard to believe that the University of Cambridge is endorsing such behavior. The most recent borderline illegal practice that FourthRev has been carrying out is that they are denying certificates of completion to any student who took the course through financing. Now they are citing some obscure T&Cs that were never mentioned before to justify their scam behavior. At no moment before enrollment did they ever mention that the certificate of completion was subject to full payment of the course. They never mentioned that if you took the course through financing, you would not be entitled to your certificate, they just wanted to enroll you, because money is money, in the end. Now, I hear that all the students on financing are not getting their certificates. I think the University of Cambridge needs to take action, and I hope the authorities in the UK also take action, because FourthRev is incurring in fraudulent practices, in my opinion.

The course was getting more intense gradually towrds the end of the course. The facilitators and the working material are very effective and efficient. I think the course requires more time than the suggested 20 hours so you can better learn and get better understanding. Having a job at the same time makes everything very challenging.

I completed the Data Science Accelerator in December 2025 and really appreciated its pace and part-time structure—especially as a mother of two with a full-time job. The selection of topics and the quality of the content were excellent, and the special projects at the end of each module were both challenging and enjoyable. They use real data and prepare you for practical applications. The difficulty increases toward the end, but the effort is absolutely worth it.
Previously, I tried a similar online, self-paced program, but it lacked structure and clear milestones, so I struggled to stay committed. This program’s design made all the difference.

Completing the career accelerator has given me a better understanding of marketing metrics. My thinking is more strategic and data-driven and if there are no evidence based arguments, good luck trying to convince me! I thouroughly enjoyed the live sessions with the facilitator as well as the employer project. I was lucky to be in a group with very strong candidates. However, a little handholding for those new to marketing would have been appreciated especially with budgeting and hyper technical concepts. There's a lot if content to cover and it is not easy for professionals who have demanding roles. I would recommend the course as it pushes you to think out of the box, but they can definitely improve the their delivery standards. Career coaching and masterclasses were good. Only time will tell how we can benefit from those.

Hi, for anyone who is looking to do one of LSE’s accelerators at the moment. DO NOT DO IT under any circumstances.

They are working with a company that is very obviously just trying to get money from you. Their concept is to purposefully fail most of the cohort so that they can bag the thousands of pounds and not have to deal with the amount of people who have signed up. Their infrastructure is obviously not set up to deal with that many people. It’s a scam. One of the biggest signs, they keep changing the name of their courses.

Overpriced for what it delivers. The material wasn’t just low quality — it was often inaccurate, full of mistakes, and poorly checked. When I raised issues, one response was “we have 100 thousand lines of code, what do you expect?”, which says a lot about their standards. Promised elements like detailed feedback never materialised, and much of the content felt disconnected from the actual job market. I finished the programme feeling underprepared. Very disappointing — would avoid.

After completing an intensive six-month degree in Digital Marketing Strategy & Analytics (partnered with LSE), I find myself not much further than when I started. Certainly not skilled enough to call myself a digital marketer. This is a major disappointment, and it’s why I can only give the course one star.

The Positives:
There were a few valuable elements. The specialised masterclasses delivered by professionals stood out. These sessions provided quality insights and genuinely practical know-how. Connecting with fellow learners was also enriching, where exchanging perspectives and ideas was one of the highlights of the experience.

The Disappointments:
However, the core course content and delivery fell short. The goal was to gain solid foundations in digital marketing – from tool use to data analysis – and to learn how to apply these skills strategically in real-world contexts. Instead, I spent 25–30 hours per week (far more than the 16 hours initially promoted), mainly writing academic-style reports that lacked practical relevance. The workload made it unrealistic for full time worker balancing full-time jobs, studies and families.

To make matters worse, the first facilitator assigned to our cohort lacked sufficient expertise. Although this issue was eventually addressed after collective feedback, the change came too late (by the third module). And even if the replacement facilitator did improve the experience significantly, the first two module could not be redone.

Poor Organisation & Lack of Practical Value:
The course structure itself was disorganised. Live sessions were frequently rescheduled at the last minute, often to times that were inconvenient when having a full time job on the side. And as far as the so-called “employer project” is concerned, which was supposed to be the most hands-on, real-world module, it was poorly coordinated and used low-quality data, unworthy for a Digital Marketing Strategy AND Analytics course.

All in all, the analytical component was severely underdeveloped. Despite completing a “strategy and analytics” course, I still don’t know how to use Google Analytics – because we never used it nor were we explained how to use it.

Miscommunication and Lack of Transparency:
Furthermore, due to bad coordination it has been a struggle to use the course towards CIM CPD (as promised by FourthRev/LSE). Whether this is possible is still pending and vague, and organisation to receive credits relies at this point entirely on us participants. Overall, there has been a lack of communication and transparency.

The coaching element was equally inconsistent. Some students received a full year of coaching, others just six sessions, depending on what was marketed at the time of purchase. This inconsistency made it feel more like a commercial tactic than a real add-on.

Final Thoughts:
In essence, this course demonstrates strong digital marketing – but only for itself. The marketing campaign was excellent; the delivery, unfortunately, was not. They made their money, but at the cost of students who end up feeling disappointed, misled, and unprepared for real-world work.

If it weren’t for my supportive peers and Jenna’s outstanding takeover as facilitator, I would have dropped out after module 3.

My Personal Advice:
If you’re serious about developing in this field, invest your time and money in a Chartered Institute of Marketing (CIM) program instead. Their offerings provide far better value, practical application, and professional support.

In short: this course looks impressive from the outside, but the inside doesn’t live up to the promise.

I was part of the Feb 2025 cohort for UX/UI KCL Career Accelerator. The course was interesting and the tutor was good (1 x hr online group session per week) but was very poorly delivered by Fourth Rev. A lot of time and effort is put into recruitment compared to the minimal support we got when on the course, feelings that were shared by multiple students and fed back to Fourth Rev. The allocated course facilitators or 'success managers' often took days to get back to questions on the online portal which was very frustrating for a group learning remotely on a fast-paced course. I enjoy independent learning and still passed with Distinction but I think the course is extremely expensive for what it offers, and doesn't offer anywhere near enough support for a course that's run fully online (and as they're constantly onboarding students every month or so it's not like they're not making enough money out it!).

I gave the program 1 star as 0 was not possible. I did the London School of Economics Digital Marketing and Analytics program (August 25 cohort) and it was extremely disappointing.

At one point, a group of more than 20 students wrote in a collaborative Google sheet all our concerns about the course. The course only improved as a result of this action and after changing the academic staff.

Needless to say, I asked for a refund, but to no avail. My final grade was a Merit but i did not feel the course equipped me with the right skill set.

The employer project was disorganised and the quality of the data poor. In fact, the analytical part of the entire program was extremely poor.

In addition, due to bad coordination we couldn’t use the course towards CIM CPD, as the credits could not be allocated retrospectively and we were never advised to join the CIM ahead of starting the course.

The coaching support element was inconsistent in quality. Some students were given a year of coaching sessions, others only 6 sessions. This corresponded to the company’s commercial strategy and advertising hooks, which devalued the academic element in favour of the commercials.

If I could go back, I would join one of the CIM programs. They offer better value for money and even the CIM membership offers wonderful tools. Examples are the mentoring program, the technical quizzes and the soft skills self assessments, as well as a wealth of opportunities for self development.

My advice: Do use your time wisely, and the way forward for these interested in Marketing is the Chartered Institute of Marketing (CIM) not LSE/Fourth Rev

This is one of the best courses you could take; it's extremely valuable, and having a LSE course on your portfolio makes a significant impact and difference, I believe.

I completed the Product Management Career Accelerator from King’s College London and FourthRev, and I’d fully recommend it to anyone serious about moving into product.

The course was practical and rigorous, with a strong focus on real-world application. The content pushed me to think strategically and apply concepts to real product scenarios, covering product strategy, design, and go-to-market planning. The facilitator was exceptional, bringing deep industry knowledge and challenging us to think like actual PMs.

The Success Managers were also very supportive and helpful throughout. Thanks to the programme, I left with portfolio-ready work, sharper product thinking, and the confidence to speak the language of product.

Personally I think it was a great learning experience. Recommended for people who wants to start a career in the UX UI Product Design field.

Taking part in the Career Accelerator in Data Analytics, delivered by LSE in partnership with FourthRev, has been a transformative experience. The programme offered the perfect blend of academic rigour and real-world application. The curriculum, mentorship, assignments and employee project helped me build confidence across Python, SQL, machine learning, and NLP-culminating in a research collaboration with the Bank of England that earned a Distinction. I would wholeheartedly recommend this programme to anyone eager to accelerate their journey into data science with practical tools, expert mentorship, and career-building opportunities.

Unfortunately, the Fourth Rev showed an utter disprescpet to the time as well as they showed their lack of organisation.

I booked the meeting with the advisor and received the e-mail with the scheduled meeting (3rh Jul, 9:45 BST). I prepared the questions I had, organised the day, planned morning around that meeting to be at home.

At 9:30am I received a text message stating that the meeting will take place in an hour (10:30am), not at 9:45am.
Since there was no name in the text message, I e-mailed the advisor to confirm the time.
At 9:45 no one had called, then at 10:00 am I got the phone call, which I couldn't pick up due to other things being done in the morning (already moved to another task).
I e-mailed them and got text message that the time was shown differently to them and they can do the meeting at 3:30PM(!)

I have responded that I rescheduled other tasks so I can do the meeting according to their calendar which is 10:30 from their text message or 10:45 (9:45BST+1).
No response, no phone call. It's 11am, the morning plans partly ruined due to my relying on the company.
Lack of responsibility, lack of organisation, that's what they showed.

DO NOT WASTE YOUR TIME.
Unfortunately, an unproffesional behaviour from the company.

Insightful career accelerator program, that equips you skills to confidently navigate the digital product space.

Munn

Really enjoyed being apart of the Product course and really good structure and outcomes throughout the course.

Excellent course content and Dee was amazing.

The course was well worth it. Well structured and im using a lot of the skill, tools and concepts I learnt while on the course. The only doen side were some technical issues with the Learning management system which made is sometimes frustrating to get work done

Great course to get an extensive knowledge in data analysis in about 6 months.