Data science is a thriving and great career option for young graduates. It has become the most promising choice because of the opportunities in the field. The demand for data scientists boosts the UK market, and the trend shows that this demand will increase daily. According to Yocket Editorial Team, the UK is a big market for data scientists. Students with a Master’s degree in data science have a 96% employment rate. So you can do real-time data science projects that will open up greater opportunities for you in future. Therefore, having an eye-catching thesis topic becomes more important as it can land you a job after completing your degree.
Before going towards a data science topic, you should understand the importance of learning data science.
- Today, data is new power as most industries rely on data to navigate business transformation and expansion. They are looking for skilled data scientists that can dig out important insights to improve business productivity and help achieve business goals. Many industries harness their customers’ data to improve their product’s viability. Industries use data to boost revenue, improve performance, and deliver top-notch customer service.
- There are not enough resources to transform data into powerful products. There is a huge gap in data scientists because of a lack of subject knowledge in the market.
- Data science is considered the most demanding career, and data scientists are among highly paid professionals. According to some data described by LEAPSCHOLAR, data scientists are paid a handsome amount of money. They make 63% more money than the average national salary. The salary range can differ based on the degree, experience and data science skills.
- Data scientists have a prestigious position in the company as their decisions heavily depend on their insights.
- Data science has recently gained popularity in universities and institutes as they offer various courses.
Application of Data Science:
The application of data science is diverse and covers various industries, as described below:
- The e-commerce industry has grown worldwide, as delivering the best customer service has been a base of success. Data scientists have played a key role by creating the required customisation to offer the best user experience.
- Due to the rise of the e-commerce industry, the logistics and transport industry has also flourished. Data scientists have improved efficiency in the movement of goods and passengers by helping firms collect and segregate revenue, cargo movement, package tracking, and passenger movement data.
- The healthcare industry is another big industry that is improved by the presence of data science. So, Data science has helped doctors and healthcare facilities deliver improved and accurate patient service.
- Other industries include IT, government, finance, retail, and academics.
If you are an aspiring data scientist, top dissertation writers have presented a list of 20 thesis topics in this article to help you reach your career goal. So, Selecting the right kind of topic, based on your choice, will help you land your dream career.
Some Most Important Fields Of Data Science And Their Related Topics
Artificial intelligence: This field has made remarkable success in various fields, such as Robotics, quantum computing, autonomous vehicles, and the Internet of things. There has been a tremendous increase in research projects related to artificial intelligence. So, We have listed topics that you can focus on for research purposes.
- Machine learning can be divided into supervised and unsupervised machine learning algorithms and reinforcement machine learning algorithms.
- Deep learning is an imitation of the inner working of the human brain to process data and execute decisions based on data. It utilises artificial neural networks to deploy machine learning. These neural networks are linked same ways as human neurons.
- Reinforcement learning is also a part of artificial intelligence. In this AI method, the machine learns the same way humans learn. For example, a student learns from their mistakes through trial and error.
- Robotics deals with a human-like machine that behaves like humans and also can perform some actions. AI robots act intelligently in certain situations and solve various problems.
- Natural Language Processing is a part of AI, in which machines converse back as humans.
- Computer vision uses images AI to extract information from images. An application of computer vision is navigation for autonomous vehicles analysing surrounding images.
- A recommender system can be based on content-based recommendation or collaborative filtering. You can see recommendations for TV series based on NLP done on TV series or by assessing your past reading habits.
- The Internet of things is a network of connected devices that can share information. The Internet of things collects a large amount of data that AI algorithms require. So, This data can be converted into actionable results used by IoT devices.
List of related topics:
- How has machine learning affected and upgraded the pathways of AI research?
- What is the prediction of future impacts on global interactions using NLP?
- How has AI impacted the healthcare industry across the UK, and what are the limitations?
- What is the behavioural impact of AI on trade stock across the UK?
- What are the main possibilities of AI interaction with food manufacturing industry devices?
- How has AI helped develop fashion brands through ad creation across the UK?
- In what ways has AI worked with food delivery services across the main cities of the UK?
- How has AI helped the logistics industry to assess and forecast future financial trends?
- Why is e-commerce heavily dependent on AI, and what is the forecast for the upcoming five years?
- How has AI increased social media engagement in the past few years?
Business Intelligence
It is a method of analysing data to make informed business decisions. It refers to a wide range of research topics to accomplish academic research. The purpose of research topics is to upgrade students’ knowledge and expertise. Business intelligence is an exceptional area for students to research. There are multiple business intelligence concepts, including ontology and business rules, workflow management, occupational business intelligence, and web intelligence. So, There are various upcoming trends in business intelligence, including self-service BI, advanced and predictive analytics, data governance, agile BI development, analytical databases, integrated platforms PM/BI, spatial/location intelligence, data storytelling, real-time analytics, data warehouse modernisation, and cloud business intelligence.
List of relevant topics:
- The utilisation of buisness intelligence knowledge to set up theoretical links; big data-meta fraud.
- An investigation study of using business intelligence from the accounting firm of the UK.
- An overview of the influence of business intelligence in network security systems.
- A study of business intelligence current practices, past trends, and future trends across the UK.
- Assessment and exploration of business intelligence future in logistics operations.
- How tourism and hotel industries get benefit from business intelligence and social media- a comparative study.
- What is the impact of implementing disaster management systems in emerging economies?
- The future of mobile commerce in the UK- assessment of physical infrastructure and software compatibility.
- The impact of business intelligence on profit generation in the UK.
- Developing enterprise resource management model for business intelligence, data mining, and predictive analysis.
Conclusion
Data science is a vast field that has created its place in various industries. It is very important to select your field of interest that is also demanding in your targeted industry. This article described some of the sub-fields of data science. So, Please do not hesitate to reach out to discuss more. We have specialists that will help you select your dissertation topic.