Evgeny Sinkov

The beauty of this master’s was that all modules were interconnected, complementing each other and allowing us to apply multiple skills in a single project.

Evgeny Sinkov

Name:  Evgeny Sinkov
Country of origin: Kyrgyzstan
MSc course: Business Analytics
Graduation year: 2022

My motivation for choosing the MSc Business Analytics at Bayes Business School (formerly Cass), was driven by several factors, including my innate curiosity, adaptability, and appetite for challenges. I recognised the need to acquire advanced skills in data science and analytics to unlock the potential of data and help companies make informed, data-driven decisions.

The MSc in Business Analytics  at Bayes offered a comprehensive curriculum covering essential topics such as data visualisation, data management, machine learning, deep learning, network analytics, and natural language processing. This well-rounded education provided me with a strong foundation in data science and analytics, which I believed would complement my prior experience in logistics and supply chain management.

Additionally, the degree's focus on strategic analytics, design thinking, and business storytelling ensured that I developed a practical understanding of applying technical skills to real-world business problems, rather than adopting a "tech for tech's sake" mindset. This approach resonated with my desire to apply newly acquired knowledge to solve real-life business challenges.

Lastly, the reputation of Bayes Business School, as well as the opportunity to study and network in London, attracted me to the program. This allowed me to gain international exposure and access a diverse range of resources and opportunities that would ultimately benefit my career.

Did you have much prior experience of business analytics before joining us?

Before joining the MSc Business Analytics degree , my prior experience in business analytics was limited. I had completed some introductory Python courses, which provided me with a basic understanding of programming concepts and the Python language. However, I lacked in-depth knowledge and hands-on experience in data science, analytics, and other related fields.

What motivated you to choose our business school for your master’s?

I chose the MSc Business Analytics at Bayes due to its strong reputation, comprehensive curriculum, and focus on real-world applications. A YouTube video featuring alumnus Edoardo Di Molfetta's inspiring story of applying MMA-fighting resilience to his studies further motivated me. The free application process, exceptional career services, and opportunities to attend events from other programs made Bayes the perfect choice for my master's degree.

My experience on the course was truly transformative. Most of the modules blew my mind, as I had never imagined being able to comprehend and apply such complex concepts like machine learning, AI, network science, statistics.

The beauty of this master’s  was that all modules were interconnected, complementing each other and allowing us to apply multiple skills in a single project. For example, we could use statistics to test hypotheses, process user-generated text from forums, perform network analysis, train data and develop classification models, and finally, summarise our findings through visualisations. This holistic approach to learning provided me with a strong foundation in data science and analytics, enabling me to tackle real-world challenges with confidence.

My favourite subject in the course was Natural Language Processing (NLP). I was fascinated by the concept of vector spaces of word embeddings and how machines treat text. This deep interest in NLP led me to choose it as the topic for my thesis work. I often found myself so immersed in my research that I could sit for hours in front of my laptop, completely forgetting to take breaks. The passion I developed for NLP during the program has continued to inspire me in my professional pursuits.

During my studies, I competed in tennis as a part of the university team. I continued playing competitively even after completing my degree. In addition to focusing on my sports passion, I took the time to reflect on potential career paths.

Following my internship in Data Science at Kortical, I decided to pursue a career as a data engineer or data scientist. To further develop my skills, I plan to take additional professional courses to learn how to deploy models using technologies such as RESTful, Flask, and Databricks. I am also working on building my data science portfolio and planning to compete in Kaggle competitions to showcase my expertise and gain more practical experience.

The master’s in Business Analytics at Bayes provided me with a solid foundation that I believe would have been difficult to achieve through self-paced online courses.

The practical experience gained through hands-on projects, internships, and collaborations with peers and faculty has not only enhanced my technical abilities but also helped me develop crucial problem-solving, communication, and teamwork skills. These competencies are essential for succeeding in any professional setting, especially in data-driven roles.

Furthermore, the networking opportunities and support from the career services at Bayes have played a vital role in guiding my career trajectory and connecting me with potential employers and industry professionals.

I had a significant amount of interaction with the Postgraduate Careers Team during my time at Bayes. From the moment I started the program, I was in constant contact with them, utilizing their services and resources to better prepare myself for the job market.

I had approximately 10 one-on-one sessions with the careers team, which covered various aspects, such as career advice, CV reviews, and cover letter reviews. Their guidance and expertise helped me refine my application materials and develop a stronger understanding of my career goals and potential opportunities.

In addition to individual sessions, I also attended group workshops where we collectively learned how to stand out in different types of interviews, ranging from behavioural to technical. These sessions provided valuable insights into the recruitment process and allowed me to practice and hone my interviewing skills in a supportive environment.

Furthermore, I participated in a professional mentoring program offered by Bayes, which was a tremendous privilege. This opportunity allowed me to connect with experienced professionals in the industry and gain valuable insights and advice on how to navigate my career successfully.

Overall, the Postgraduate Careers Team at Bayes played a vital role in my professional development, equipping me with the tools and confidence needed to excel in my career.

What advice would you have for students considering studying their master’s at the Business School?

  1. Evaluate your passion for data analysis: The program can be intense and requires dedication, so it's essential to enjoy working with data and have a genuine interest in the field. If you're unsure, try taking introductory courses or workshops in data analysis to see if it sparks your enthusiasm.
  2. Be prepared for the intensity: The master's program at Bayes Business School is demanding, requiring a significant amount of commitment and hard work. Make sure you are mentally and emotionally prepared to dedicate the necessary time and effort to succeed in the program.
  3. Network with alumni: Connecting with alumni can provide valuable insights into their experiences and career journeys. Don't hesitate to reach out to them for advice or guidance, as many alumni, like myself, are more than happy to share their knowledge and support prospective students.

Do you have a favourite memory from your time studying with us?

There were many memorable events during the program! The one I remember most sharply is a data visualisation mid-term team project, exploring what makes TikTok videos popular using big data. All the rooms in the building were constantly booked as teams brainstormed ideas and sought advice from others. All day long until the late evenings. It was our first time working with big data as a team, and the experience felt overwhelming initially.

However, when the time came for presentations, we witnessed an array of mind-blowing charts, intricate details, and impressive design choices that showcased the hard work and creativity of all the teams involved. This experience not only allowed us to learn and grow professionally but also helped us form lasting friendships.

Overcoming challenges together and witnessing the incredible results of our collective efforts is a memory I'll always cherish from my time at Bayes Business School.