Deep Dive: Explore the Focus Areas Available in the Tulane Online Computer Science Master’s Program

With computer science evolving so rapidly, professionals must continually sharpen their skills to remain competitive. With advancements in artificial intelligence (AI), cybersecurity, quantum computing, and other emerging technologies, staying ahead means actively developing targeted, cutting-edge expertise.

Tulane University’s online Master of Science in Computer Science (MSCS) program enables students to strengthen their core knowledge while specializing in the areas shaping the future of tech. This dual focus readies students. This article explores the specialized focus areas available to Tulane online MSCS students. 

Customize Your Degree With One or More Focus Areas

Students in the Tulane online MSCS program complete 30 credits: nine core and 21 elective credits based on their selected focus area. Students can tailor their studies to concentrate on a single focus area or combine several, depending on their career aspirations. Academic advisors assist in selecting the most suitable electives that align with students’ objectives. 

The six official focus areas available to students are: 

1. Computational Geometry

Computational geometry uses algorithms and data structures to recognize geometric patterns and solve geometric problems. Its goal is to create efficient and practical algorithms for processing and utilizing geometric data in applications. 

2. Computational Biology and Informatics

Computational biology and bioinformatics are interdisciplinary fields that apply algorithms, data analysis, and modeling to understand biological systems and interpret complex biological data. Computational biology focuses on building models to simulate biological processes; bioinformatics emphasizes managing and analyzing large-scale biological datasets, such as DNA sequences, to uncover insights in genomics, drug discovery, personalized medicine and disease research.

3. Algorithms and Theory

Algorithms and theory form the foundation of computer science. Algorithms are instructions that computing devices follow to execute a specific command or process consistently. Theory supplies the mathematical and logical framework that enables algorithms to function effectively.

4. Systems

The study of computer systems focuses on designing, implementing and optimizing computing systems. Students learn to build and manage the foundational software and infrastructure that support complex applications and services. 

5. Data Science

Data science focuses on extracting insights from large datasets using statistical analysis, machine learning and data visualization techniques. Students learn to develop data-driven solutions that support decision-making. It encompasses, but is not limited to, data analytics.

6. Artificial Intelligence and Machine Learning

AI is a field of computer science that focuses on creating systems capable of performing tasks typically requiring human intelligence, such as reasoning, learning, problem-solving, and understanding language. Machine learning, a subset of AI, involves designing the algorithms computers use to learn from data and improve their performance over time.

What You Can Do With Each Focus Area

Each focus area within Tulane’s online MSCS program opens the door to distinct and rewarding career paths, allowing students to align their education with their interests and ambitions. 

Computational Geometry

You encounter computational geometry any time a computer interacts with the physical world. The field’s numerous practical applications include 3D modeling, computer graphics, computer vision, computer-assisted design, game design, geographic information systems, image processing, molecular modeling, robotics, software engineering and virtual reality.

Computational Biology and Bioinformatics

Individuals specializing in computational biology and bioinformatics can pursue a range of careers across academia, healthcare, biotechnology and technology industries, including: 

• Bioinformaticians working in hospitals or labs analyzing patient genetic data for diagnostics or personalized medicine.
• Pharmaceutical research scientists using data-driven models and algorithms to identify drug targets, optimize treatments and accelerate the discovery and development of new medicines.

Algorithms and Theory 

Algorithms and theory hold the key to future computing developments; experts in the field will develop the algorithms that drive the next generation of technologies. Because algorithms are integral to all computing, specialization in this field can offer a wide range of career options, including software engineer, machine learning engineer and data scientist. 

Systems

Specializing in systems prepares you to work as a database administrator, DevOps engineer, information security analyst, IT consultant, network engineer, research scientist, systems architect or systems software developer. Like algorithms and theory, systems study has broad applications across computing, making this a highly versatile MSCS specialization.

Data Science

According to the U.S. Bureau of Labor Statistics (BLS), data science is one of the top five fastest-growing occupations, with a 36 percent increase in employment expected between 2023 and 2033. Data scientists can work in various industries, including finance, healthcare, retail, and technology. 

Artificial Intelligence and Machine Learning

AI and big data top the World Economic Forum’s list of the fastest-growing skills in its 2025 Future of Jobs Report. The report also notes that demand for AI and machine learning specialists is expected to grow by over 80 percent over the next five years, putting it third on the WEF’s list of fastest-growing jobs. Students specializing in AI and machine learning should have a very promising future. Industries that typically employ AI and machine learning specialists include technology, healthcare, finance, automotive, manufacturing, retail, telecommunications and defense.

Why Specializing With Tulane Stands Out

Adding a specialization to your online Master of Science in Computer Science (MSCS) at Tulane University means gaining a high-quality, research-driven education without compromising on flexibility. Designed for working professionals and lifelong learners, the fully online format allows students to pursue an advanced degree on their schedules without sacrificing the depth, rigor or engagement of a traditional program. 

With the ability to mix and match electives, students can tailor their coursework to align with their career goals, whether they choose to focus on AI, data science, cybersecurity or another cutting-edge field. The curriculum emphasizes practical, real-world problem-solving, preparing graduates to tackle today’s complex technological challenges with confidence. 

Tulane’s renowned faculty brings deep expertise aligned with the university’s research strength. Students learn from scholars at the forefront of computer science innovation. 

Conclusion – Your Future, Your Focus

Now is the time to take charge of your computer science journey and shape a future that aligns with your passions and career goals. Tulane’s online MSCS empowers you to dive deeper into the focus areas that matter most to you while earning a degree built for real-world relevance and impact. Tulane’s online MSCS offers the flexibility to learn on your terms while earning a highly valued degree. 

Are you ready to take the next step? Schedule an application walkthrough with an enrollment advisor, or start your application today.