University of Alabama

What you'll study

This programme covers the fundamental areas of computing and information science, blending theory and applied work. Early studies focus on programming, discrete mathematics and problem solving, while intermediate and advanced modules introduce algorithms, data structures, operating systems, databases and computer networks.

• Core programming and software engineering – introductory and advanced courses in procedural and object‑oriented programming, software development lifecycle, testing and version control.
• Algorithms and data structures – algorithm design, complexity analysis and practical data structure implementations.
• Information systems and databases – relational databases, query languages, information modelling and database administration concepts.
• Computer systems and networking – operating systems principles, computer architecture, network protocols and network administration basics.
• Cybersecurity and privacy – fundamentals of information security, risk assessment, secure coding practices and applied security labs.
• Data analytics and introductory machine learning – data management, statistical methods, data visualisation and applied machine learning concepts.
• Human–computer interaction and web development – user‑centred design, front‑end and back‑end web development and usability testing.
• Capstone and practical experiences – a year‑long or final‑year capstone project, lab courses and opportunities for internships or cooperative placements with industry partners.

Throughout the programme students complete general education requirements alongside major coursework, with options to tailor study through electives, minors or special-topic modules such as mobile computing, cloud computing, or artificial intelligence.

Entry requirements

Applicants should have a high‑school diploma or equivalent with a strong performance in mathematics. Prior study of algebra, pre‑calculus or calculus and any background in computer science or programming will strengthen an application.

• Academic qualifications: successful completion of secondary education with competitive grades, particularly in mathematics and related STEM subjects.
• Preferred subjects: mathematics at an advanced level is highly recommended; prior coursework in computer science or information technology is advantageous but not always mandatory.
• Additional evidence: a portfolio of programming projects, participation in computing competitions, or relevant work experience can support an application.
• Admissions process: applicants must meet the University of Alabama’s general undergraduate admissions criteria; some places may be competitive and conditional offers are possible.

Career prospects

Graduates gain a versatile skill set that is in demand across sectors. Common career destinations include roles in software development, systems and network administration, database management, information security, data analysis and IT consulting.

• Software developer / engineer – building applications, systems and services across web, mobile and enterprise platforms.
• Systems analyst and IT consultant – translating business requirements into technical solutions and improving organisational IT processes.
• Database administrator and data engineer – designing, maintaining and optimising data stores and pipelines.
• Information security analyst / cybersecurity specialist – protecting systems, investigating incidents and implementing security controls.
• Data analyst / machine learning practitioner – analysing datasets to inform decisions and developing predictive models.
• Further study and research – options include master's degrees in computing, information systems or specialised areas such as cybersecurity and data science.

Students benefit from the university’s career services, employer engagement events, and a network of alumni and regional technology partners that support internships and graduate recruitment.

Why study at University of Alabama

The University of Alabama offers a comprehensive undergraduate computing education with access to teaching laboratories, faculty research groups and student organisations focused on computing and information technologies. The programme emphasises hands‑on learning through lab work, collaborative projects and real‑world capstones.

• Practical facilities and labs that support networking, cybersecurity and software development coursework.
• Opportunities for undergraduate research and project work with faculty across computing and related disciplines.
• Active student societies and chapters of professional organisations that provide networking, hackathons and mentoring.
• Strong local and regional employer links that facilitate internships, co‑op placements and graduate recruitment opportunities.

Together these elements prepare graduates for a range of technical and professional roles in industry, government and non‑profit sectors.