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Online Graduate Certificate in Cloud Computing and Machine Learning

Total Credit Hours

12

Cost Per Credit Hour

$867

Build in-demand cloud and machine learning skills with an online Graduate Certificate in Cloud Computing and Machine Learning from LSU.

This online graduate certificate prepares professionals to develop technical expertise in cloud computing and machine learning for organizations that rely on scalable, cloud-based systems.

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Built for a Rapidly Growing Field

As cloud adoption accelerates across industries, this certificate aligns with workforce demand for professionals who understand cloud-enabled systems.

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Career-Focused Technical Pathway

Designed to support career advancement or technical upskilling, the program helps learners move into roles that support cloud-based operations and innovation.

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Focused Graduate-Level Credential

Earn a specialized certificate that delivers concentrated technical knowledge without the time commitment of a full master’s degree.

Online Graduate Certificate in Cloud Computing and Machine Learning

Develop technical knowledge in cloud computing frameworks, infrastructure, and data storage used by modern organizations.

Apply machine learning concepts alongside cloud-based tools to support data-driven systems and decision-making.

Learn how emerging technologies, including blockchain and project management practices, intersect with cloud computing environments.

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Admissions

Whether you’re returning to school or advancing your career, our admissions team is here to support you every step of the way.

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Apply by

May 11, 2026

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Classes begin

May 25, 2026

Admissions Requirements

Applicants must be admitted by both the LSU Graduate School and the Division of Computer Science and Engineering. Admission to the graduate certificate program will be considered on the following requirements:

  • A Bachelor's degree from a regionally-accredited college or university or the equivalent from a foreign institution with 3.0 grade point average (also for graduate courses completed if applicable). A lower GPA of 2.75 may be accepted with relevant work experience.
  • Acceptable GRE score of 300 minimum. The GRE may be waived for applicants with relevant work experience.
  • Acceptable TOEFL scores of at least 213 (computer-based test) or 79 (internet-based test) or acceptable IELTS scores of minimum 6.5 or PTE scores of minimum 59 for foreign students only (unless they have completed one year of full-time study at a university in the United States or where English is the primary language of instruction).
  • Statement of purpose explaining the applicant’s career goals and work experience in the IT field. A comprehensive computer science background should include course work or training on data structures, algorithms, programming, and operating systems.
  • Students without an undergraduate BS degree in computer science or computer engineering are allowed to enroll in the graduate certificate program.
    • However, to satisfy requirements, those students should complete two leveling courses:
      • CSC 3102 (Advanced Data Structures and Algorithm Analysis) and
      • CSC 4103 (Operating Systems) at LSU or
      • Equivalent courses elsewhere or have sufficient work experience in the field.
  • Students are expected to possess strong programming skills.
  • Two letters of recommendation are required, which should also endorse programming skills.

Additional information about LSU Graduate admission requirements are located here.

Tuition

LSU offers competitive, flat-rate tuition with no out-of-state fees. Plus, you may be able to save even more by transferring up to 75% of previous credits.

Tuition & Fees
12 credit hours
Total credit hours per program
$867
Cost per credit hour
$10,404
Total cost with fees

LSU Online offers several ways to help you pay for your degree including credit for prior learning (PLA), financial aid, and veteran education benefits. Learn more.

The total cost above does not include transfer credit or financial aid. Cost per credit hour and fees are subject to change. Fee schedules may vary by program depending on course-specific fees for proctoring and/or books. Please contact a Student Success Coach for more information.

Financial Aid Available

LSU offers several ways to help you pay for your degree including credit for prior learning (PLA), financial aid, and veteran education benefits. Learn more ›

Academics

Students who earn an online certificate in cloud computing and machine learning can expect to learn how to solve business challenges using emerging technologies.

Courses
Course Listings and Software Used by Faculty Credit Hours

CSC 7510 Cloud & Enterprise Systems (Prerequisite: CSC 4103 or equivalent)

Students will learn to use Amazon EC2 platform for web application development and Hadoop platform for data analytics. The software package includes JQuery, Ajax, Apache, Tomcat,MySQL, VMware workstation, and pre-configured Virtual Machine images.

3

CSC 7740 Big Data Sys & Application Development (Prerequisite: CSC 4103 & 4402 or equivalent)

Students can use any distributed big data platforms for their course projects including, but not limited to, Spark (DataFrame, SQL, RDD), Hadoop (HDFS, MapReduce), Hive, NoSQL (HBase, MongoDB), Amazon EMR, and Databricks.

3

CSC 7333 Machine Learning (Prerequisite: CSC 4444 or equivalent)

Students use Matlab, Anaconda system, which includes Python, Jupyter interactive Python notebook, ML package scikit-learn, etc.

3

CSC 4762 Blockchain and Cryptocurrency (Prerequisite: CSC 3102 or equivalent)

Students use blockchain platforms including Ethereum, Hyperledger, and IBM platform.

3

What will I learn?

Topics covered in the program include:

  • Advanced problems and challenges in defining, developing, and building cloud systems; virtualization; open-source computing; cloud scalability, provisioning, fairness, reliability, security, and monitoring
  • Principles, techniques, and systems for big data processing; Hadoop, Spark, and NoSQL ecosystems; application development using big data systems
  • Fundamental principles of machine learning; inductive learning; explanation-based learning; computational approach to Boolean function learning
  • An in-depth exploration of various consensus, hashing, and cryptography algorithms, as well as the development of decentralized applications (Dapps) over blockchains and cryptocurrencies

Careers

Through mastering a framework of cloud computing, cloud infrastructure, project management skills, and blockchain applications, graduates will be prepared to compete for some of the most sought-after technical jobs in the industry.

$105,990
Median Salary

The median annual wage for computer and information technology occuptions was $105,990 in May 2024. (Source: BLS)

Career Opportunities
  • Software engineer
  • Full-stack architect
  • Network architect
  • Network administrator
  • Cloud engineer
  • Cloud architect
  • Cloud analyst
  • Java developer

Frequently Asked Questions

Will I pay out-of-state tuition if I am outside of Louisiana?

There are no out-of-state fees. Fully online programs offer the same flat-rate tuition no matter where you live.

How do online classes work?

LSU Online is a flexible fit for learners offering six starts a year and seven-week terms. All courses are designed to be fully accessible and engage learners, no matter where you are located.

Why choose LSU’s online Graduate Certificate in Cloud Computing and Machine Learning?

The tech industry is a fast-paced, high-growth field with plenty of opportunities for ambitious professionals. With the online certificate in cloud computing and machine learning from LSU, you can gain the skills and knowledge needed to stand out in the technology workforce and advance your career.

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Ready to reach your goals?

Take the first step forward by completing the form, and our enrollment team will contact you soon to discuss:

  • What program meets your academic and career goals
  • Financial aid options (employer funding, military benefits)
  • Receiving credit for past education (transfer, professional development)
  • The admissions process and timeline

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