March 15, 2022

Where can computer science take you in 2022? 3 things I've learned working in an EdTech company


Written by Justin Chia, Business Development Manager | SNG for CS101.

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Computer science helps the development of critical thinking, problem-solving and complex analytical strategies. Computer science also has practical application in education technology where it is used as the basis for enhancing individualised education, improving student goals, and lowering the teaching burden on instructors. Read our blog here: Beginner’s Guide: What is Computer Science?

As a result, the learning process is enhanced and the quality of education is improved. EdTech also helps online teaching and instructing strategies making online learning a better experience for the learners. Now, let's now talk about the scope of computer science in 2022. Keep reading below to know it all!

Where can computer science take you and/or your business in 2022?

With the start of 2022, there has been a significant rise in the scope of computer science. This section highlights the main areas that computer science benefits you with these days. Speaking from experience, with over 15 years in EdTech, with computer science knowledge you can enter the following areas with some explanatory videos if you prefer to watch instead

#1 Artificial Intelligence

What is Artificial Intelligence?

It is basically the property of a computer-controlled device or a digital computer to do activities that are actually practiced by intelligent beings. The most frequent use of this term is associated with the project of developing systems where intellect is required. 

The most notable human intellectual characteristics considered here include reasoning ability, learning from past activities, generalisation characteristic, and the ability to discover meanings.

What are the Examples of Artificial intelligence?

Some of the most common examples of Artificial Intelligence are:

  • Robotic vacuum cleaners
  • Facial recognition software 
  • Chatbots
  • Smart assistants like Alexa and Siri
  • Self-driving vehicles
  • Netflix and Pandora for personalised entertainment and song recommendations 

Why Artificial Intelligence?

There are several ways in which Artificial Intelligence makes your life easier. Some of these are discussed below:

  • Helps with smart decision making 
  • Allows automation
  • Improves customer experience 
  • Brings advances in the medical area
  • Makes research and data analysis easier 
  • Helps solve complex problems 
  • Manages repetitive tasks
  • Reduces errors
  • Increases the business efficiency 

What are the Applications of an Artificial Intelligence Professional?

Artificial Intelligence is nowadays applied everywhere increasing the demand for AI professionals. Various application areas for AI professionals are:

  • Technology 
  • Financial services
  • Gaming 
  • Media 
  • Health care 
  • Marketing 
  • National security 
  • Retail 
  • Government and military 
  • IoT-enabled systems

Field Opportunities in Artificial Intelligence 

It’s exciting that Artificial Intelligence is a highly growing area that brings about opportunities for various other fields. Some of these are mentioned below:

  • Data Analytics 
  • User Experience 
  • Research Scientist 
  • AI Engineer 
  • Software Engineer 
  • Business Intelligence Developer

#2 Machine Learning

What is machine learning?

Machine learning, abbreviated as ML refers to the study of computer algorithms that are improved automatically by the use of data and experience. In machine learning, sample data is taken for building a model for the machine learning algorithms for making decisions or predictions without clearly programming for the action. 

The major applications of machine learning are in the fields where the development of conventional algorithms is difficult for carrying out the desired task.

What are the Examples of Machine Learning?

Some of the most common examples of machine learning are:

  • X-ray reading
  • Voice searching and dialling
  • Oncology and pathology testing 
  • Algorithmic trading 
  • Real-time arbitrage opportunities identification 

Why Machine Learning?

There are several ways in which machine learning makes your life better. Some of these are discussed below:

  • Efficient data handling
  • Improving studying and learning experiences
  • Simplification of product marketing 
  • A better online shopping experience 
  • Assists in accurate sales forecast 
  • Helps for correct medical predictions and diagnosis 
  • Enhances precision of financial models and rules 
  • Helps with easy spam detection 
  • Simplifies time-intensive documentation in data entry 

What are the Applications of a Machine Learning Professional?

Machine learning is nowadays applied in various areas for making lives easier. Various application areas for machine learning professionals are:

  • Traffic alerts
  • Transportation and commuting 
  • Virtual personal assistants
  • Dynamic pricing 
  • Online video streaming 
  • Social media 
  • Product recommendations 
  • Google translate 
  • Fraud detection 

Field Opportunities in Machine Learning 

Machine learning is a developing knowledge that brings about opportunities for various other fields. Some of these are mentioned below:

  • Machine Learning Engineer
  • Data Scientist 
  • Human-Centred Machine Learning Designer
  • Software Developer
  • Computational Linguist

#3 Blockchain

What is Blockchain?

Blockchain is a term used for the extending records list referred to as blocks, that have a strong association with the use of cryptography. A cryptographic hash taken from the previous graph is added to the new block along with the transaction data (shown as the Merkle tree) and a timestamp. 

The main role of the timestamp here is to verify the existence of the transaction data to get into the block hash when it was published. 

What are the Examples of Blockchain?

Some of the most common examples of blockchain are:

  • Cryptocurrency exchange
  • The real estate processing platform 
  • Music royalties tracking 
  • Personal identity security 
  • Secure sharing of medical data

Why Blockchain?

There are several ways in which blockchain makes your life better. Some of these are discussed below:

  • Increases trust
  • Improves security 
  • Builds transparency 
  • Helps in the traceability of data shared across a business network 

What are the Applications of a Blockchain Professional?

Blockchain is nowadays applied in various areas for making lives easier. Various application areas for blockchain professionals are:

  • Original content creation
  • Voting mechanism 
  • Supply chain and logistics monitoring
  • Anti-money laundry tracking system 
  • NFT marketplaces
  • Real-time IoT operating systems
  • Advertising insights

Field Opportunities in Blockchain 

Blockchain is a growing knowledge that brings about opportunities for various other fields. Some of these are mentioned below:

  • Blockchain Developer
  • Blockchain Project Manager
  • Blockchain Solution Architect 
  • Blockchain Quality Engineer 
  • Blockchain UX Designer 
  • Blockchain Legal Consultant 

Feel free to have a read of our blog here: 8 Career Paths in Computer Science [Infographic] for a summary.

What next?

Hopefully, now you are better able to understand the importance of computer science in artificial intelligence, machine learning, and blockchain. If you or your team are ready to invest yourselves for 2022 with CS101, contact me today for more information or enrol today to secure your spot.