Identifying a Problem
Keep in mind that any topic related to data is popular.
Many times, the popular subjects of the academia are different from the ones of the industry.
The former are more theoretical and creative, and the latter are more practical.
You want to pick a topic that is popular for both academia and industry, so you would be able to find a job easily after graduation.
The following list shows the popular topics that you may consider:
- Mobile computing
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Mobile computing is a trendy topic.
It is about mobile development instead of mobile networks, which may not need many workers because people use mobile networks all the time, but they do not develop mobile networks.
- Security
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Security is always important, but the competition is high too because everyone knows how important the security is.
By the way, the industry is looking for security analysts instead of security developers, and the number of analyst jobs is not high.
- Databases and Data Processing
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It is popular, but not much research you can do because it is too practical.
Real-World Problems
It would be the best if the research is to solve the real-world problems such as:
- Predictive analytics and intelligent decision-making
- Cybersecurity and threat intelligence
- Internet of things (IoT) and smart cities
- Traffic prediction and transportation
- Healthcare and COVID-19 pandemic
- E/m-commerce and product recommendations
- NLP (natural language processing) and sentiment analysis
- Image, speech, and pattern recognition
- User behavior analytics and context-aware smartphone applications
Johnny, if you had 5$ and you asked your father for 3$ more,
how many dollars would you have?
– I would have five dollars…
– You don’t know your arithmetic, Johnny…
– You don’t know my father, Mrs. Mutch…
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