Demand for computer science professionals — fueled by organizations’ appetite for new and better technology — is growing. According to the U.S. Bureau of Labor Statistics (BLS), employment in computer and research scientists is expected to increase 23 percent over the next decade, with 3,400 job openings expected each year. Similarly, employment across all computer and information technology occupations should grow “must faster than the average for all occupations,” creating over 375,000 job opportunities annually.
To thrive in this dynamic industry, computer scientists must be proficient in long-established computing practices while also cultivating the skills to identify and master emerging technologies quickly. An online Master of Science in Computer Science (MSCS) program, such as the one offered by Tulane University, can help you develop the knowledge and expertise that power successful computer science careers.
Trending Now: The Computer Science Skills Employers Want
Artificial intelligence (AI) and machine learning dominate the 2023 computer science landscape. According to McKinsey’s Technology Trends Outlook report, machine learning-related job postings increased 23 percent from 2021 to 2022. Meanwhile, the rise of generative AI tools, such as ChatGPT, drove a 44 percent increase in demand for computer science professionals specializing in this field.
Currently, demand for professionals with AI and machine learning expertise is outstripping supply. As McKinsey puts it, “[M]any of the skills in greatest demand have less than half as many qualified practitioners per posting as the global average.”
Currently, the most sought-after skills and qualifications for computer science professionals are:
- Algorithm design
- AI, machine learning, and natural language processing (NLP)
- Cloud computing
- Computer networking
- Computational geometry
- Data analysis
- Data Science
- Programming languages
- Software development
Top Computer Science Jobs in 2023
The jobs listed below number among the fastest growing in computer science today.
Machine Learning Engineer
Machine learning engineers create and maintain the systems, structures, and algorithms that enable machine learning models to perform accurately and optimally. They develop, implement, and fine-tune algorithms, collect and analyze data, and conduct experiments to validate the effectiveness of machine learning models.
Key skills for machine learning engineers include mathematics, programming languages, data science and analytics, problem-solving, and communication. To become a machine learning engineer you will likely need a bachelor’s degree (or higher) in a relevant field like computer science, data science, or mathematics. Machine learning is a challenging career path with a high bar to entry, but skilled professionals are in significant demand and enjoy competitive six-figure salaries.
Cybersecurity Analyst
Cybersecurity analysts plan, implement, and monitor security measures to protect computer networks, systems, and sensitive information. According to the BLS, the job market for information security analysts (including cybersecurity analysts) should grow 32 percent over the next decade.
Cybersecurity analysts’ day-to-day responsibilities include maintaining security software and investigating security breaches. Key skills include computer science, risk analysis, and knowledge of information systems. According to Cyberseek, 70 percent of cybersecurity analyst job postings require at least a bachelor’s degree, with almost 20 percent requiring a graduate degree. Cybersecurity analysts earn a median annual income of $112,000.
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Software Developer
Software developers analyze user’s needs and design and develop software to meet them. Software developers must be skilled in programming languages, algorithms, operating systems, and cloud platforms, among other key competencies. To become a software developer you generally need a bachelor’s degree (or higher) in computer and information technology or a related field like mathematics.
According to the BLS employment of software developers is expected to grow 26 percent over the next decade. The annual median income for this profession is $127,260.
Artificial Intelligence Developer
AI developers work with machine learning algorithms, AI modeling, neural networks, and related technologies to build AI applications. Day-to-day responsibilities include collaborating with team members to write code and to design and test AI applications. Required skills include coding in various languages, like Python and R, in-depth knowledge of machine learning, and excellent communication skills.
Many AI developers hold master’s degrees in computer science or advanced mathematics with a focus on AI and machine learning and earn an average yearly salary of $115,727.
Cloud Engineer
The job title of cloud engineer encompasses a few different roles, including:
- Cloud architects who manage cloud infrastructure
- Cloud software developers who build and maintain cloud software applications
- Cloud security engineers who build and maintain features to secure cloud-based platforms and applications
To become a cloud engineer you generally need a Bachelor of Science degree in computer science, engineering, or another related field; some employers prefer candidates with a master’s degree. Cloud engineers earn an average salary of $136,073.
How to Navigate a Computer Science Career Change
As a computer science professional, developing your skills and adding more qualifications to your resume can make you more competitive in the job market. Earning a master’s degree is an excellent way to build skills and improve your career prospects and earning potential. Tulane’s Online MSCS offers various specialization options, allowing you to transition into a field of interest. Earning a master’s degree also demonstrates to prospective employers that you’re committed to continuous learning and upskilling, critical attributes in the ever-changing technology field.
Prepare for Your Next Computer Science Role at Tulane
The Tulane Online MS in Computer Science can help you achieve your career goals, irrespective of where your interests lie. The program is highly customizable — whether you’re a seasoned computer scientist or an aspiring artificial intelligence specialist, this degree can meet your needs.
As a Tulane online MSCS student, you can personalize your course of study to focus on a specialization within computer science or one of six related areas, including computational geometry, computational biology and bioinformatics, algorithms and theory, systems, data science, artificial intelligence, and machine learning.
The online format adds flexibility, making the program a solid choice for working professionals. As an online Tulane MSCS student, you will participate in virtual classes with professors and peers and complete asynchronous assignments. You will also have the chance to connect with faculty during live office hours.
What Can You Achieve With an MS in Computer Science from Tulane?
Pursuing your MSCS degree online from Tulane can help you develop the specialized skills and knowledge needed to advance your computer science career and secure a top computer science job. Earning your master’s degree demonstrates a commitment to bolstering your abilities and remaining up-to-date on the latest developments. It also allows you to define your niche in the job market by specializing in a specific field. Finally, improving your skills and deepening your knowledge can qualify you for more complex, higher-responsibility roles.
Want to explore the next step towards earning your master’s in computer science? Contact an enrollment advisor to learn more and receive one-on-one advice about everything from program options to tuition and financial aid.