An integral part of the modern world, computer science degree is a fast-growing domain. All the credit goes to the advances in data science and artificial intelligence. As per a 2020 World Economic Forum report, artificial intelligence and automation will generate up to 97 million jobs by 2025. 

Scholars are taking up computer science degrees in today’s scenario, which offers many career options and professional pathways. If solving problems using computing technologies and studying design software is your cup of tea, then a career with a computer science degree is going to shower a lot of money for you. If you are looking for the highest paying jobs after adding a feather of computer science degree in your cap, this blog will help you navigate them. 

1. Data Scientist

There is no denying the fact that data is now even more valuable than oil. Data is the KING, and therefore, it is no surprise that this role is the rapidly growing one amongst the CEOs of the companies. Bringing value out of data, a data scientist proactively fetches information from several sources, analyses the same for thorough know-how about the performance of the business. A data scientist is also into building artificial intelligence tools to automate different processes internally in the company. 

Average Yearly Salary: AU$91,857 (as per PayScale)

2. Data Engineer

Do you have a strong foothold in any programming languages like Python, JavaScript, HTML, SQL, PHP, Swift, Objective-C, and so on? Suppose you want to be a data engineer. In that case, you will have all the responsibilities related to finding trends in data sets and, post-that, coming up with specific algorithms that will make raw data more valuable and advantageous to the company. Data engineers must be a hawk’s eye on the trends or inconsistencies, which might hurdle the business goals. 

Average Yearly Salary: AU$98,363 (as per PayScale)

3. Machine Learning Engineer

Machine learning engineer aims at researching, structuring and designing self-running artificial intelligence (AI) systems with the sole aim to mechanize extrapolative models. Machine learning engineers typically work as part of a larger data science team, working closely with data analysts, data architects, and data scientists. To become a machine learning engineer, you must possess technical skills such as neural network architectures, applied mathematics, data modelling & evaluation, reinforcement learning, and signal processing techniques, to name a few. If you find trouble doing your computer science assignments, seek online assignment help from experts who will assist you in real-time.

Average Yearly Salary: AU$76,645 (as per PayScale)

4. Software Engineer

You will have endless opportunities if you have a knack for working in a constantly evolving environment. Thanks to the technological advances and the ever-changing company’s strategic direction, you will be working for! As a software engineer, you will have to analyze the user requirements, write and test code, research, and design computer operating systems, and create technical specifications. 

Average Yearly Salary: AU$78,996 (as per PayScale)

5. Analyst Programmer

As an analyst programmer, the name itself says, you have to analyze the programming codes. To be more specific, an analyst programmer is supposed to design, develop, test, maintain and document code according to user needs and technical conditions. An analyst programmer is also required to debug, diagnose, and correct errors in a programming language if need be. And this has to be done within the testing protocols, guidelines, and quality standards. Make sure you are well-versed with the fundamentals of the subject and, if needed, avail assignment help in Australia from experienced online tutors. 

Average Yearly Salary: AU$73,425 (as per PayScale)

6. Front-end Developer

A front-end developer wants to continuously be aware and mindful of how the field is emerging as the tool to modify the website’s front-end regularly. The developer is expected to make JavaScript, CSS, and HTML for a website or Web Application to allow the user to interact with them directly. This technology runs on an Open Web Platform. 

Average Yearly Salary: AU$487,182 (as per PayScale)

7. Artificial Intelligence Engineer

Artificial intelligence engineers are accountable for creating, designing, and executing the most intricate grids and links of the rules that make up such an artificial intelligence or AI that it works like a human brain. Artificial intelligence engineers must be multi-taskers who mix everything, namely, software development, programming, data science, and data engineering. 

If you want to become an artificial intelligence engineer, you will have to locate and pull data from different sources. Then, the engineer is required to produce and test machine learning models. To make and implement artificial intelligence applications, the engineer then has to make use of the application program interface or also known as, API or can even embed code. 

Average Yearly Salary: AU$35,000 (as per Talent)

Let’s wind up!

Computer science is concerned with computer networks, artificial intelligence, programming languages, cybersecurity, machine learning, and database management. This field is booming with opportunities and not fading away anytime soon as all the modern industries are dependent on computer science specialists to knob their chief technology requirements. 

Governmental agencies, management consultancy firms, financial organizations, data warehouses, multinational companies, communications companies, universities, hospitals, and software houses all need a computer science background employee depending on the requirement. 

Also read about: Distance Learning Course in Ludhiana

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By Anil Kondla

Anil is an enthusiastic, self-motivated, reliable person who is a Technology evangelist. He's always been fascinated at work especially at innovation that causes benefit to the students, working professionals or the companies. Being unique and thinking Innovative is what he loves the most, supporting his thoughts he will be ahead for any change valuing social responsibility with a reprising innovation. His interest in various fields and the urge to explore, led him to find places to put himself to work and design things than just learning.

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