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计算机科学

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Leverage the creative and technical skills necessary to succeed in the fast-paced field of computing by earning your computer 科学 degree from UAFS.

Computer 科学 is a rapidly changing field encompassing various topics such as software engineering, artificial intelligence, natural language processing, machine learning, cybersecurity, and many others. Graduates who earn their computer 科学 degree are in high demand and often receive job offers up to a year before graduation.

UAFS's program is delivered by experienced faculty engaged in multidisciplinary academic 研究. Courses are offered in areas such as artificial intelligence (AI), natural language processing, machine learning, user experience/UX testing, software engineering, and data 科学 and analytics.
 
Earning your computer 科学 degree prepares you for an occupation in the rapidly changing world of software engineering, artificial intelligence, machine learning, automation, cloud computing, and 分析 of big data. The knowledge and skills acquired during the program will prepare you for challenging occupations in computing such as:
  • 软件工程师
  • 软件开发人员
  • 数据科学家
  • 机器学习工程师
  • 计算机系统分析员
  • 法医计算机分析员
  • Web和移动开发者
  • computer network architects
  • 数据库管理员
  • 脆弱性测试人员
  • 数据分析师
  • information security analysts
根据 Bureau of Labor Statistics, the job outlook for computer and information technology occupations is expected to grow much faster than the average for all occupations well through 2031. 把这个 expected growth with a 2023 annual median salary of $104,420, and you can see why so many choose to enter this rewarding career field.

格式

在校园

学分

120

度计划

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项目学习成果

Graduates of this program will be able to:

  • analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify 解决方案. 
  • design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
  • communicate effectively in a variety of professional contexts.
  • recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
  • function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
  • apply computer 科学 theory and software development fundamentals to produce computing-based 解决方案.

Concentrations (Select One)

一般
This 9-hour module is recommended for students who seek careers as 软件开发人员, web developers, and systems analysts. Courses include Java 编程, Web Systems, Enterprise Computing, Database Systems, Cloud Applications Development, and Algorithmic 编程. 
 
Artificial Intelligence/Data Science
This 9-hour module is recommended for students who seek careers as 数据科学家, 机器学习工程师, data engineers, 数据分析师, data architects, and business 智力开发人员. Courses include Big Data, Deep Learning, 数据分析, Information Retrieval, Computer Graphics, Natural Language Processing, and Internet 的事情.
 
网络安全

This 9-hour module is recommended for students seeking careers as forensic computer analysts, information security analysts, 脆弱性测试人员, and security engineers. Courses include Applied Cryptography, Cyber Operations, Computer Forensics, and Cyber 犯罪.

未成年人

计算机科学
This 20-hour program provides general in-depth instruction for a broad and deep understanding of foundational concepts and theory in addition to the practical technical skills and abilities desired by employers. 

Geographic Information Systems
This 20-hour program provides students with a general overview of GIS mapping and 分析.

Certificates of Proficiency

计算机系统
This 14-hour program provides you with a foundation in the field of computer 科学. Students learn the foundations of programming and software development through the development of algorithms, data manipulation, and other skills needed to be effective 利用代码. The certificate can also transfer to the minor or major in computer 科学.

数据分析
This 12-hour program provides you with a foundation in the field of data analytics 还有大数据. Students learn the foundations of data analytics and data 科学, statistical techniques for data, methods of data visualization, systems for managing data in the era of big data analytics, machine learning algorithms, and widely used data 科学 工具和应用.

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