299$

Credits

120 Credits

Included Course

7 Courses

Language

English

Type

Online course

Award

MCS Degree

Start date

Any day

Open to Global Students

We welcome students from different countries around the world. If you are keen to learn about our courses, get to know more about what we are offering!

Study Anywhere, Anytime

We offer self-paced study mode where you can plan your own study schedule to complete our courses.

Successful Rate
98 %
Total Students
5.8 k+

Atlanta College of Liberal Arts and Sciences

Atlanta College of Liberal Arts and Sciences (ACLAS) was launched in Atlanta, Georgia, USA. All while staying true to the mission – to provide high-quality equal education opportunities to everyone in the world. 

At ACLAS, we challenge traditional learning models, delivering high-quality education that accommodates students’ needs, schedules, and aspirations. Our online programs are tailored for today’s professionals, enabling career advancement through practical, globally recognized qualifications.

Empowering Dreams
Affordable Education for All

100% online

Self-paced learning from anywhere,
no travel required.

8 - 24 months

120 credit hours of
graduate coursework. No thesis required.

Approx. $299 total tuition

There are no extra fees,
flexible payment available. Support global payment options.

We provide an affordable option to achieve quality and equal education worldwide

If you’ve been researching exactly what courses you want to study in a self-paced mode, here you are in the right place.

What skill you want to learn, or if you just need one more skill to round out your resume and profile. Here in ACLAS will be something in between, explore.

Certificate & Academic Transcripts

Upon completion of the program, you will be awarded the Certificate for Master of Computer Science and a full digital transcript. All certificates come with a unique identification number, credential ID date, and a hidden watermark to prevent forgery. 

Accreditation & Certification

Atlanta College of Liberal Arts and Sciences is a CPD provider of The CPD Certification Service. This ensures all the programs are accredited by CPD and reached to the certain level to ensure quality education.

Qualification Check provides global primary source verification of academic and professional qualifications in Global Verification. Students can verify their certificate here after earning their degree.

Qualification Check

IEE is also a trusted name in credential evaluations. After completing your studies, you can also choose to head to IEE for credential evaluation, ensuring your academic qualifications meet U.S. standards.

Atlanta College of Liberal Arts and Sciences is an institution member of Global Association of Online Trainers and Examiners (GAOTE), aiming to provide high-quality online courses and assessments that meet global standards and expectations.

Atlanta College of Liberal Arts and Sciences is a member of European Digital Education Hub, advancing the Digital Education Action Plan to ensure high-quality education is accessible to everyone.

European Digital Education Hub

We have received the Certificate of Good Standing from the Georgia Secretary of State which underscores our dedication to fostering equitable education opportunities. (Docket Number: 28133575)

Georgia Secretary of State

MCS Course Overview

Our MCS program is 100% online and self-paced mode, with a total of 120 credits earned throughout the study.

1. Database Systems

Course Descriptions

This database engineering course is designed to provide a foundational understanding of databases, their real-world applications, and the skills required to manage them. You’ll learn key concepts such as data structures, relationships, and normalization. Through hands-on practice, you will build and manage databases using SQL and perform essential operations (CRUD). The course also includes exercises, quizzes, and collaborative discussions to enhance your learning. You'll install and configure XAMPP to explore both local and remote database management. By the end, you will be well-prepared for a career in database engineering.

What will I learn?
  • Understand database concepts, structures, and normalization.
  • Perform SQL operations like sorting, filtering, and CRUD.
  • Build and manage fully operational databases using XAMPP.
  • Apply best practices in database design and management.
Total Lectures: 33

2. Computer Security

Course Description

In this comprehensive Computer Security course, you will explore the core principles and practices to secure computer systems and networks. The course begins with an introduction to authentication and operating systems, followed by in-depth coverage of authorization, security models, and network protocols.

Key areas of focus include:

  • Identifying security threats and vulnerabilities
  • Network security measures, such as firewalls and encryption
  • Secure authentication techniques and layered security models
  • Understanding computer systems security architecture and control
  • Analyzing modern cryptographic methods like stream ciphers and their applications

With practical examples and real-world scenarios, you will gain the knowledge and tools needed to secure systems effectively.

What will I learn?
  • Understand and implement security protocols for networks and systems
  • Identify and mitigate computer system vulnerabilities
  • Use secure authentication methods to protect systems
  • Apply cryptographic techniques to enhance data security
  • Analyze security threats and design appropriate defense mechanisms

Total Lectures: 20

3. Deep Learning for Healthcare

Course Description

This Deep Learning for Healthcare course provides a comprehensive overview of how deep learning techniques are transforming the healthcare industry. You will explore the use of neural networks and machine learning algorithms to analyze complex health data, including EHR (Electronic Health Records), clinical notes, and imaging data.

Key topics include:

  • Health data standards like CPT, SNOMED, and ICD
  • Multilayer neural networks and their applications in healthcare
  • Predictive modeling and performance evaluation metrics
  • Techniques such as feature construction, clustering, and dimensionality reduction
  • Advanced health data analytics using deep learning methods

By the end of the course, you will gain hands-on experience with building predictive models, working with healthcare data, and applying machine learning techniques for practical medical applications.

What will I learn?
  • Understand and apply deep learning methods to healthcare data
  • Analyze and interpret electronic health records (EHR), clinical notes, and medical images
  • Build predictive models and evaluate their performance
  • Use advanced healthcare data standards like CPT, ICD, SNOMED, and UMLS
  • Implement neural networks for practical healthcare applications

Total Lectures: 24

4. Applied Machine Learning

Course Description

The Applied Machine Learning course offers a comprehensive guide to building machine learning models and deploying them in real-world scenarios. Covering key topics like regression, classification, decision trees, and neural networks, the course focuses on practical applications with step-by-step guidance.

Throughout the course, you will explore:

  • Supervised learning techniques, including linear regression, logistic regression, and support vector machines
  • Advanced algorithms like Random Forests and Gradient Boosted Decision Trees
  • Concepts like cross-validation, model selection, and overfitting/underfitting
  • Metrics for evaluating model performance such as confusion matrices, ROC curves, and precision-recall
  • Techniques for improving model generalization, including regularization and ridge regression

By the end of the course, you will have a solid understanding of machine learning fundamentals and will be able to implement, fine-tune, and evaluate models effectively using Python.

What will I learn?
  • Understand and implement key machine learning algorithms like decision trees, logistic regression, and neural networks
  • Perform model evaluation using various metrics and cross-validation techniques
  • Optimize models through regularization techniques (Ridge, Lasso) and hyperparameter tuning
  • Build and deploy machine learning models for regression and classification tasks
  • Identify and address common issues such as overfitting, data leakage, and underfitting

Total Lectures: 33

5. Software Engineering

Course Description

This comprehensive Software Engineering course is designed for anyone aspiring to become a software engineer or expand their technical skills. Throughout the course, you will gain deep insights into software development methodologies, system design, and coding practices. With modules ranging from the Software Development Life Cycle (SDLC) to Application Deployment Environments, this course covers both theoretical and practical aspects of software engineering. You'll also learn about the roles within software engineering teams, quality software building, cloud development, and much more. Whether you're a beginner or an experienced developer, this course will help you solidify your understanding and enhance your skills to tackle real-world software engineering challenges.

What will I learn?
  • Understand the fundamentals of software engineering, including the SDLC and different software development methodologies.
  • Be able to differentiate between compiled and interpreted languages, and understand how application deployment works.
  • Gain proficiency in object-oriented design, architectural patterns, and programming logic.
  • Learn to work with software documentation, version control, and development tools.
  • Be prepared to join a software engineering team, understanding team dynamics and roles.

Total Lectures: 34

6. Cloud Computing

Course Description

The Cloud Computing course is designed to give learners a thorough understanding of distributed systems and the essential principles behind cloud architectures. Through a combination of theoretical foundations and practical applications, you will explore key topics such as:

  • Distributed system concepts, including consistency models, multicast ordering, and failure detection
  • The CAP theorem, which defines the trade-offs between consistency, availability, and partition tolerance in distributed databases
  • The architecture and design of key-value stores like Cassandra and NoSQL databases
  • Deep insights into cloud platforms, MapReduce, grid infrastructure, and peer-to-peer (P2P) systems
  • Protocols like Gossip and technologies such as HBase, Paxos, and Napster that form the backbone of modern cloud solutions

This course is perfect for aspiring cloud architects, developers, and IT professionals looking to expand their knowledge of cloud computing infrastructure, distributed systems, and large-scale computing environments.

What will I learn?
  • Understand the core principles of cloud computing and distributed systems
  • Implement distributed algorithms like the Gossip protocol, MapReduce, and Paxos
  • Explain the trade-offs defined by the CAP theorem in cloud architectures
  • Use key-value stores like Cassandra and NoSQL databases in cloud environments
  • Grasp concepts such as consistency, failure detection, and grid infrastructure
  • Develop and troubleshoot cloud-based applications and infrastructure
  • Gain practical experience with modern cloud computing tools and platforms

Total Lectures: 57

7. Programming Languages and Compilers

Course Description

In this online Programming Languages and Compilers course, you will delve into the foundational concepts and advanced techniques that shape the world of programming languages. This course covers a broad range of topics, including:

  • Syntax and Semantics: Understand the structure and meaning of programming languages, including big-step and small-step operational semantics.
  • Evaluation Strategies: Learn about different evaluation methods such as continuation passing style and lazy evaluation.
  • Functional Programming: Explore first-class functions, first-order functions, and lambda calculus.
  • Type Systems: Discover type checking, type inference, and unification, alongside parametric and subtype polymorphism.
  • Memory Management: Gain insights into garbage collection and mutable data structures.
  • Interpreters and Compilers: Analyze various interpreter implementations and learn about low-level representations.

Through engaging lectures, hands-on exercises, and real-world applications, you will develop a solid understanding of how programming languages are designed and implemented. This course is ideal for computer science students, software developers, and anyone interested in mastering programming languages and compilers.

What will I learn?
  • Understand the fundamental concepts of programming languages and compilers.
  • Analyze and implement various evaluation strategies.
  • Design and implement interpreters and compilers for programming languages.
  • Apply type checking, type inference, and unification principles effectively.
  • Develop a deeper understanding of memory management and garbage collection.

Total Lectures: 46

I want to enroll

If you are looking for courses to enhance your profile and skills, grab this promotion by enrolling to our DBA program now! 

Key Features: 

  • Affordable Tuition Fees

  • Flexible Learning Environment (100% Online & Self-Paced)

  • Comprehensive Curriculum

I enrolled in the DBA Course Bundle and was impressed by the comprehensive curriculum. Each course is detailed and highly relevant to modern business practices. Highly recommended!

Axelson Peter

The Leadership and Team Development course really stood out for me. It provided practical strategies for inspiring my team and enhancing our productivity.

Aldi Pascal

The flexibility to study at my own pace was crucial for me. Balancing work and study has never been easier, thanks to this online format.

Gabrie Meki

Any Inquiry?

Are you ready to explore our programs here? Enroll today to get yourself prepared in the workplace! 

Any questions you are looking for? Make sure you check our FAQ questions! 

MCS Program Overview

Database Systems

59.9$

Computer Security

39.9$

Deep Learning for Healthcare

49.9$

Applied Machine Learning

69.9$

Software Engineering

79.9$

Cloud Computing

89.9$

Programming Languages and Compilers

89.9$

FAQ about MCS Degree

We have no specific requirements for your application to the Master of Computer Science program, regardless of whether your background is in computer science or not. However, we do expect you to have a basic understanding of computer science, so it can ensure that you can understand the course syllabus.

Since our course syllabus might be different from other universities that offer MS degrees in Computer Science, we are open to welcome you to study our Master of Computer Science.

You can read the MCS Course Overview section to understand what are the syllabus covering in this program.

The Master of Computer Science program at ACLAS includes the following courses: Database Systems, Computer Security, Deep Learning for Healthcare, Applied Machine Learning, Software Engineering, Cloud Computing, and Programming Languages and Compilers.

The Master of Computer Science program at ACLAS consists of 7 courses, totaling 120 credits.

The Master of Computer Science program at ACLAS includes a total of 254 lessons, which will probably take between 6 months and 24 months to complete the program. However, you can arrange your study schedule based on your own pace and availability.

Our programs are designed to be accessible to everyone, with no strict prerequisites or complicated application processes. 

To get started, simply choose the program that suits you.

  1. First, register on our website and select your program.
  2. After registration, you’ll receive a confirmation email with further instructions.
  3. Next, you will need to complete your payment through the provided links for MBA, DBA, or MCS programs.
  4. Once your payment is confirmed, you’ll be assigned courses.
  5. After completing them, you can download your degree certificate, transcript, and recommendation letter from your student dashboard.

You may have a look on this admission guide here

We currently support PayMyTuition, and PayPal in our third-party payment gateway. Common credit/debit cards (MasterCard, Visa) are also accepted. We will suggest our students to use PayMyTuition for the payment as it can give you the best local currency rate. Click here to know more about PayMyTuition payment.

If you encounter any issues with payment, please feel free to contact our customer support for assistance.

No, there are no additional charges when using PayMyTuition to pay your tuition fees. There are different payment choices, and we will highly encourage you to choose to pay with bank transfer.  It’s a cost-effective option for international payments, offering competitive exchange rates without hidden fees. However, the use of credit cards and e-wallets will include convenience fees to your quote. These fees are charged by the payment processor for the use of these payment options. We may have the right to require full payment.

You may check the guide here to know how to pay with PayMyTuition. 

If you encounter any issues, you can contact their customer support team and they are available to assist you.

We are a recognized CPD (Continuing Professional Development) service provider, which means our programs meet high educational standards set by respected industry bodies. You can find us listed on the CPD website

Our certificates are globally recognized, ensuring that your qualifications will be valued by employers and institutions worldwide. For added credibility, your certificate can easily be verified through a trusted third-party service, Qualification Check, and IEE. You can choose either to apply for an education evaluation report on IEE or Qualification Check. Please note that verification payments will need to be completed on your own. Check the guide here

You can choose either to apply for an education evaluation report on Qualification Check. Please note that verification payments will need to be completed on your own. Check the guide here.

If your employer or educational institution is conducting the verification process, they can send a written verification request to our email: verify@aclas.college.

There is no time limit for completing the Master of Computer Science program at ACLAS, allowing students to study at their own pace. You can freely arrange your study progress based on your own pace and availability. Please note that every student will only receive a certificate upon completing the courses and passing the assessments.

Our Master of Computer Science program at ACLAS is fully online, making it convenient for students to arrange their study time flexibly. We do not open on-campus programs.

Programming is one of the topics covered within our Master in Computer Science program.

Computer Science (CS) focuses on the theory and development of software, algorithms, and systems, emphasizing problem-solving and computational processes. Information Technology (IT) is more practical, dealing with the implementation, management, and maintenance of hardware, software, and networks to meet organizational needs. Information Systems (IS) integrates technology, people, and processes to manage and analyze data for decision-making and business strategy, blending technical and business aspects. Each field has its own focus: CS on creating solutions, IT on applying and managing technology, and IS on utilizing data and technology for business objectives.

The strength of studying Computer Science (CS) lies in its broad applicability and foundational role in modern technology. It equips students with strong problem-solving, analytical, and programming skills, enabling them to design software, develop algorithms, and work with cutting-edge technologies such as artificial intelligence, machine learning, and cybersecurity.

Yes, the Master of Science in Computer Science program at Atlanta College of Liberal Arts and Sciences (ACLAS) welcomes every student around the world, including international students. Our online learning format allows international students to engage with our curriculum and faculty while studying at their own pace and convenience.

Our Master of Science in Computer Science program does not offer traditional financial aid such as grants or scholarships. However, we provide the program at a very competitive price to ensure accessibility. For those who need assistance, we offer a flexible payment plan that allows you to pay for the program in installments. Please note that you must complete full payment and finish the course before receiving the certified certificate.

The course fee is $299, including a total of 120 credits, a total of 7 courses included, with each course contributing 15 to 20 credits.

No, the degree certificate will not mention that it was obtained online. It will simply state “MCS,” just like a traditional degree, ensuring that your qualification holds the same value and recognition.

With our self-paced online programs, you have the flexibility to complete your studies at your own pace. If you’re unable to finish within the initially selected study period, there are no additional fees. You can take the time you need and complete the program whenever it suits your schedule.

Yes, upon completion, you will retain access to all course materials, allowing you to revisit key lessons whenever needed.

Our Courses

Master of Business Administration (MBA)

$89

Doctor of Business Administration (DBA)

$199

Master of Computer Science (MCS)

$299