Looking to choose a career path in Information Technology, we’ve made a list of top choices you might want to consider in 2021.

According to PayScale’s data team, knowledge of high-demand technologies and key fundamentals boosts compensation by 14% to 26%.

If you’re looking to advance your career by acquiring new skills or certifications, here are ten of the hottest areas of technology you may want to consider and the best skills to learn in each:

1. Marketing Automation

Marketing automation is all about using software and computer programs to simplify and automate marketing activities. It helps manage marketing processes and multifunctional campaigns across multiple channels seamlessly.
Applications are in marketing activities that require repetitive tasks, such as email marketing, social media posting, and even ad campaigns. The technology of marketing automation makes tasks easier.

2. Project Management

According to Northeastern.edu, project managers (PMs) are responsible for planning, organizing, and directing the completion of specific projects for an organization while ensuring these projects are on time, on budget, and within scope.
Project management is one of the most advanced fields out there, it is surely an adventure you will not get bored of, as project managers are responsible for leading projects through initiation to planning, execution, control, and completion.
To learn more about Project Management and how to get certified, please watch our Agile Scrum Certification webinar replay!

3. Cybersecurity.

Cybersecurity engineers are responsible for protecting the networks and systems of an organization against threats from adversaries in cyberspace (Cybrary). The functions of cybersecurity engineers include Performing assessments and penetration testing. Development and implementation of secure network solutions.
There were 2,935 publicly reported security breaches in the first three quarters of 2020, making it the “worst year on record.” To avoid further incidents, PWC says that 55% of enterprise executives plan to increase their cybersecurity budgets in 2021 while 51% will hire additional full-time information security staff.

4. Cloud Computing.

A Cloud Engineer is a technical professional responsible for duties associated with cloud computing including planning, design, management, maintenance, and support. They are majorly responsible for accessing a business’ infrastructure and migrating different components to a cloud-based system. They create, sustain, and link to these systems with a mix of technical skills, business knowledge, and experience with major cloud providers.

5. Software Development.

Software developers are the creative, brainstorming masterminds behind computer programs of all sorts. While some software developers may focus on a specific program or app, others create giant networks or underlying systems that help trigger and power other programs. (Rasmussen.edu)
Despite the dynamic nature of changes in the IT job market, software developers are still very much in high demand, especially full-stack pros with cutting edge skills.
In fact, 38 percent of hiring managers say that hiring full-stack developers is a priority and employers are willing to pay an average of $13,762 more for technologists who possess a broad range of skills in this space.

6. Robotic Process Automation.

Robotic Process Automation is the technology that allows anyone today to configure computer software, or a “robot” to emulate and integrate the actions of a human interacting within digital systems to execute a business process (Uipath.com).
The global robotic process automation market (or RPA for short) is expected to grow at double-digit rates, reaching nearly $2 billion in annual revenue in 2021. In a nutshell, the practice uses software and bots to streamline and automate mundane, repetitive tasks, letting staff focus on high-value activities.

7. Big Data Engineers.

Big Data engineers are trained to understand real-time data processing, offline data processing methods, and the implementation of large-scale machine learning. They are also responsible for developing, constructing, testing, and maintaining frameworks like large-scale data processing systems and databases.
Since Big Data engineering is a demanding specialization, having sufficient experience with software engineering is a prerequisite to enter the field. In addition to this, familiarity with coding and testing patterns, object-oriented designs, as well as experience working on open-source software platforms would give people seeking career opportunities in this field an additional benefit.

8. Autonomous Driving engineers

As many more manufacturers are equipping cars with self-driving capabilities, the automotive industry is approaching a technological revolution, making autonomous driving engineers in high demand in the most advanced technology companies of the world.
According to ZipRecruiter, the average salary for a self-driving car engineer in the U.S. is $71,488 in 2021. Salaries range from $33,000 (25th percentile) to $135,000 (90th percentile) and can vary based on skills, education, location, and experience.
So, if you find yourself interested in self-driving cars and curious about working with robotic systems or artificial intelligence, you might want to consider a career in becoming a self-driving car engineer.

9. IT Service Management

IT Service Managers support and maintain the company’s IT infrastructure. They help the organization in deploying clout, Internet of Things, and machine learning technologies, to ensure greater success and overall business performance.

10. Artificial Intelligence / Machine Learning.

Artificial intelligence (AI) brings with it a promise of genuine human-to-machine interaction. When machines become intelligent, they can understand requests, connect data points and draw conclusions. They can reason, observe and plan. (SAS.com).
IT skills in artificial intelligence and machine learning are reflected in many of the best computer jobs. Employers are offering especially high premiums for natural language processing (NLP) and neural network skills as well as experience with TensorFlow and/or RStudio.

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