Data scientists specializing in artificial intelligence (AI) and machine learning (ML) build predictive models to unlock value contained in large, complex data sets. The technologies collect, organize and analyze data in real time to detect trends, patterns and anomalies as they occur. Up-to-the-minute models provide decision makers with data-powered insights that enable them to solve problems quickly and with greater certainty.
The online Bachelor of Science in Digital Technology & Design with a concentration in Artificial Intelligence & Machine Learning program from Arkansas State University prepares professionals for the future by helping them develop advanced proficiencies in current and emerging technologies. The program covers machine learning trends, AI use cases and programming. Students complete the program qualified for in-demand roles such as data analyst, AI developer, data scientist and machine learning associate.
“The corporate environment is being revolutionized by artificial intelligence and machine learning (AI/ML) models, which offer swift and potent insights that are exclusively available from large datasets,” Sharon AI explains. While integrating AI/ML into business processes is labor intensive, it is well worth it, Sharon AI adds.
What Technical Skills Do Data Scientists Need?
Data science AI/ML roles require strong programming skills in Python and JavaScript. Familiarity with cloud platforms and basic database operations is essential. An understanding of agile methodology helps with team collaboration and project efficiency, according to Autodesk.
To be successful, professionals must have strong analytical thinking and design skills, an understanding of computer science principles and an ability to troubleshoot AI systems. Those who excel at leveraging advanced technologies to develop practical solutions are highly sought after by employers in nearly every industry.
Smore Science describes the learning trajectory: “Someone with no experience can start with a programming language such as Python or R. Then, they can move on to data analysis and start building an intermediate project on training ML models with either labeled or unlabeled data — I would recommend both. Finally, with intermediate knowledge of these, they can learn to create AI applications.”
What Is the Career Outlook for Data Scientists?
Employment of data scientists is projected to grow 34 percent from 2024 to 2034, much faster than the average for all occupations, according to the U.S. Bureau of Labor Statistics. About 23,400 new openings are expected each year, driven by the rising demand for advanced data analysis and insights.
The field offers strong opportunities for advancement and job stability. According to Glassdoor, entry level compensation starts at $103,000 and tops out at $308,000 for highly experienced scientists.
What Kind of Education Does an Aspiring Data Scientist Need?
“Artificial intelligence is a still-evolving field, and the educational requirements for AI careers vary widely depending on the role and industry,” according to EdX. Most roles require at least a bachelor’s degree.
Practical experience and the ability to showcase real-world AI/ML skills are crucial for career growth. Employers increasingly prioritize candidates who can demonstrate hands-on project experience and a portfolio of implemented solutions over those with theoretical knowledge alone.
How Important is a Data Science Portfolio?
A data science portfolio is a collection of projects that demonstrate proficiency in the field, according to 365 DataScience. Portfolio entries validate technical ability, problem-solving and creativity, and provide evidence of competency with real-world datasets, coding, visualization and model development.
A candidate can elevate their profile with employers by showcasing their work through a well-designed portfolio. Recruiters use portfolios to assess both practical experience and readiness for industry challenges in AI and machine learning roles.
How Does the Arkansas State Program Open Doors to Careers in Data Science?
The robust curriculum in A-State’s online Bachelor of Science in Digital Technology & Design – Artificial Intelligence & Machine Learning program helps students develop highly valued expertise through advanced coursework in emerging technologies, design, programming and digital business. Students gain hands-on experience analyzing case studies, building AI solutions and mastering cloud deployment and database management, while building a portfolio that showcases their knowledge and expertise.
Graduates complete the program prepared to meet the high demand for skilled data science professionals. By combining rigorous coursework with practical application, the program positions graduates to secure high-paying roles with strong advancement potential in any industry while helping them future-proof their careers.
Learn more about A-State’s online BS in Artificial Intelligence & Machine Learning program.