As a BSc Computer Science program graduate, you can further boost your career prospects by applying for additional courses in this field. Doing so will further develop your specialization and increase your chances of landing a job you love and are qualified to perform.


When looking for a course after BSc Computer Science, consider your career goals, budget, learning needs, and curriculum. This article covers the best courses after BSc Computer Science to make the most out of your education in computer science.


MSc Computer Science


A Master of Science degree in Computer Science is the logical next step for students who wish to continue their academic education in the computer science field. Numerous programs are available depending on your preferred specialization, providing plenty of career opportunities.


Some colleges and institutions require you to have a computer science bachelor before you can sign up for a master’s program. It’s best to check the requirements on the institution’s official website.


Some flexible programs like OPIT’s accredited MSc in Applied Data Science and AI don’t require any prerequisites in the field. The program is also self-paced and fully remote and consists of three terms – two terms of courses and the final term for the project or thesis.


A Master of Science in Computer Science may include the following specializations:

  • Robotics
  • Graphics
  • Computing Systems
  • Human-Centered Computing
  • Artificial Intelligence
  • Machine Learning
  • Modeling and Simulations
  • Social Computing
  • Cybersecurity
  • Software Engineering
  • Data Science
  • Information Systems

These specializations may or may not be available at the university or college where you completed your previous education. If you’re determined to get an MSc in Computer Science and have a particular specialization in mind, do extensive research online to find the best program that matches your needs, budget, and skills. An affordable and valuable education upgrade may just be around the corner.


As you can see from above, you’ll find a Master of Science specialization in just about any computer science field. The same goes for career opportunities following an MSc in Computer Science.


Career Opportunities

  • Computer Research Analyst
  • Computer Network Architect
  • Software Developer
  • Database Administrator
  • Information Security Manager
  • Software Development Engineer
  • Computer and Information Systems Manager
  • Computer Systems Analyst
  • Web Developer
  • Mobile App Developer

If you’re ever in doubt about pursuing a Master of Science in Computer Science, remember that the average salary for individuals with this degree is $109,000 per year, according to PayScale.



Master of Computer Applications (MCA)


If you’re wondering “what to do after BSc Computer Science,” another popular path is a Master of Computer Applications (MCA). Experts with this degree can create computer applications, test new programs, offer instructions for software users, and more. With a finished MCA, you’re looking at a career that focuses on the practical aspects of software development.


The master’s in this field takes two to three years to complete and is available in colleges worldwide. A math background or at least having had this subject in high school is often the main requirement to enroll in the program. You may also need to undergo a test and an interview.


The MCA programs usually cover computational theory, in-depth algorithm studying and practice, network management, databases, web design, web development, computer networks, and more. The focus of the classes is hands-on software development, so you need to have strong skills in programming languages.


But what are your career opportunities with an MCA?


Career Opportunities

  • Computer Systems Analyst
  • Computer Programmer
  • Software Developer

Although there are fewer career opportunities for MCA takers, the salary of individuals with this degree goes up to $133,000 annually, making an MCA an excellent investment.


MBA in Information Technology


A Master of Business Administration in Information Technology is an advantageous education program. It trains you to become a leader in the IT industry. Bureau of Labor Statistics data shows that computer and information system managers earn around $151,000 annually or about $76 per hour. These are some of the highest salary prospects of all the after BSc in Computer Science programs.


Better still, all modern-day organizations need a professional in this field to ensure operations run smoothly. An important part of an information technologist’s job is to examine the future prospects of the company’s technology needs, making it a highly rewarding career.


The MBA in Information Technology program primarily focuses on training skilled professionals with high technical and business know-how. Numerous online as well as traditional programs and universities offer this specialization, as it’s one of the most in-demand degrees out there.


Some courses you can expect to find in an MBA in Information Technology program include:

  • Information Security
  • Database Management
  • Business Data Analytics
  • Technology Management
  • Corporate Financial Strategy
  • Marketing Strategies
  • Financial Management
  • Decision Making
  • Project Management
  • Human Capital Management

Most schools look for either GMAT or GRE scores as a requirement to enter this program. Also, the average duration of the program is one year. The great part is that you can find self-paced programs you can take according to your schedule.


Career Opportunities

  • IT Manager
  • IT Director
  • Computer and Information Research Scientist
  • IT Business Relationship Manager
  • Chief Technology Officer
  • Data Analyst

PG Diploma in Data Science


A Postgraduate Diploma in Data Science is usually a two-year full-time program that combines economics, science, and information technology. With this specialization, you’re qualified for many roles in the industry that deal with data. You can use the knowledge obtained in this program to contribute to the optimization of most processes in businesses, software, and institutions.


Numerous online boot camps are available and sponsored by major corporations like IBM.


In the PG Diploma in Data Science study path, you can expect to work with the following:

  • R
  • Python
  • NLP notions
  • Machine learning
  • Tableau and other data visualization methods

When choosing a PG in Computer Science, go for programs with plenty of projects involving hands-on practice. If you have a love and passion for numbers, new knowledge, and analytics, a PG in Data Science is the right call. Your future is bright in terms of career opportunities too.


Career Opportunities

  • Business Analyst
  • Big Data Scientist
  • Senior Data Scientist
  • Data Architect
  • Data Administrator
  • Business Intelligence Manager
  • Research Analyst
  • Data Mining Engineer
  • Statistician


Certification Courses


Nowadays, people love taking online courses. If you’re active on LinkedIn, you can see how the LinkedIn Learning platform with free courses has taken business social media by storm. Although LinkedIn offers solid programs, most of them aren’t accredited.


You can complete legit certification courses following your BSc Computer Science to boost your career. Certifications prove that you’re skilled in your area of specialization and that you have passed a standardized examination to demonstrate your capabilities.


While preparing for the certification exam, you also have the opportunity to learn new things. Many employers don’t care whether you have a certificate for specific skills, but the computer science world is different.


Given the multitude of highly specialized themes, employers want to be sure you’re suitable for the position you are applying for. Certifications are especially beneficial if you have no prior work experience on your CV.


Finally, by getting a professional certification, you also can increase your future salary prospects. An additional document on your CV validating your skills gives you an edge over other applicants.


Certifications for computer science experts include:

  • CISCO – If your area of interest is networking, you can get a professional certificate in various fields like data centers, network design, DevNet, and others.
  • CompTIA – This association offers professional certifications related to computer components, software, smartphones, etc. They also have a certification program for security and networking.
  • EC-Council – If you’re leaning towards e-commerce and digital businesses, the EC-Council certification can help. They have programs for ethical hacking, computer hacking, and more.
  • Microsoft – This corporation has plenty of certification programs to showcase your proficiency in Azure.
  • AWS – With arguably the highest number of available certifications, Amazon Web Services is one of the most popular providers of professional certificates.
  • ISACA – If you want to advance in the information system and security sector, ISACA certifications are the way to go.
  • VMware – This certification is for vSphere V6 specialists in data center visualization.

You can take computer science in just about any field imaginable. Therefore, you unlock numerous career opportunities.


Career Opportunities

  • Software Developer
  • Web Developer
  • Computer Programmer
  • Network Administrator
  • Software Engineer
  • Systems Manager
  • Computer Hardware Engineer
  • Information Security Analyst

After BSc Computer Science Which Course Is Better?


When you choose courses after BSc Computer Science, it’s important to consider your career goals, skills, and interests. Otherwise, you may feel dissatisfied and unfulfilled while studying and looking for jobs.


The courses featured in this article have high growth potential and are promising in terms of success. With enough effort, stimulation, and support, you can make your next computer science course your best life decision.


To choose the course you are truly interested in, dedicate enough time to research and consult with industry professionals, as they will surely provide valuable insights and advice to help you make the right choice.

Related posts

Il Sole 24 Ore: Integrating Artificial Intelligence into the Enterprise – Challenges and Opportunities for CEOs and Management
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Apr 14, 2025 6 min read

Source:


Expert Pierluigi Casale analyzes the adoption of AI by companies, the ethical and regulatory challenges and the differentiated approach between large companies and SMEs

By Gianni Rusconi

Easier said than done: to paraphrase the well-known proverb, and to place it in the increasingly large collection of critical issues and opportunities related to artificial intelligence, the task that CEOs and management have to adequately integrate this technology into the company is indeed difficult. Pierluigi Casale, professor at OPIT (Open Institute of Technology, an academic institution founded two years ago and specialized in the field of Computer Science) and technical consultant to the European Parliament for the implementation and regulation of AI, is among those who contributed to the definition of the AI ​​Act, providing advice on aspects of safety and civil liability. His task, in short, is to ensure that the adoption of artificial intelligence (primarily within the parliamentary committees operating in Brussels) is not only efficient, but also ethical and compliant with regulations. And, obviously, his is not an easy task.

The experience gained over the last 15 years in the field of machine learning and the role played in organizations such as Europol and in leading technology companies are the requirements that Casale brings to the table to balance the needs of EU bodies with the pressure exerted by American Big Tech and to preserve an independent approach to the regulation of artificial intelligence. A technology, it is worth remembering, that implies broad and diversified knowledge, ranging from the regulatory/application spectrum to geopolitical issues, from computational limitations (common to European companies and public institutions) to the challenges related to training large-format language models.

CEOs and AI

When we specifically asked how CEOs and C-suites are “digesting” AI in terms of ethics, safety and responsibility, Casale did not shy away, framing the topic based on his own professional career. “I have noticed two trends in particular: the first concerns companies that started using artificial intelligence before the AI ​​Act and that today have the need, as well as the obligation, to adapt to the new ethical framework to be compliant and avoid sanctions; the second concerns companies, like the Italian ones, that are only now approaching this topic, often in terms of experimental and incomplete projects (the expression used literally is “proof of concept”, ed.) and without these having produced value. In this case, the ethical and regulatory component is integrated into the adoption process.”

In general, according to Casale, there is still a lot to do even from a purely regulatory perspective, due to the fact that there is not a total coherence of vision among the different countries and there is not the same speed in implementing the indications. Spain, in this regard, is setting an example, having established (with a royal decree of 8 November 2023) a dedicated “sandbox”, i.e. a regulatory experimentation space for artificial intelligence through the creation of a controlled test environment in the development and pre-marketing phase of some artificial intelligence systems, in order to verify compliance with the requirements and obligations set out in the AI ​​Act and to guide companies towards a path of regulated adoption of the technology.

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CCN: Australia Tightens Crypto Oversight as Exchanges Expand, Testing Industry’s Appetite for Regulation
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Mar 31, 2025 3 min read

Source:

  • CCN, published on March 29th, 2025

By Kurt Robson

Over the past few months, Australia’s crypto industry has undergone a rapid transformation following the government’s proposal to establish a stricter set of digital asset regulations.

A series of recent enforcement measures and exchange launches highlight the growing maturation of Australia’s crypto landscape.

Experts remain divided on how the new rules will impact the country’s burgeoning digital asset industry.

New Crypto Regulation

On March 21, the Treasury Department said that crypto exchanges and custody services will now be classified under similar rules as other financial services in the country.

“Our legislative reforms will extend existing financial services laws to key digital asset platforms, but not to all of the digital asset ecosystem,” the Treasury said in a statement.

The rules impose similar regulations as other financial services in the country, such as obtaining a financial license, meeting minimum capital requirements, and safeguarding customer assets.

The proposal comes as Australian Prime Minister Anthony Albanese’s center-left Labor government prepares for a federal election on May 17.

Australia’s opposition party, led by Peter Dutton, has also vowed to make crypto regulation a top priority of the government’s agenda if it wins.

Australia’s Crypto Growth

Triple-A data shows that 9.6% of Australians already own digital assets, with some experts believing new rules will push further adoption.

Europe’s largest crypto exchange, WhiteBIT, announced it was entering the Australian market on Wednesday, March 26.

The company said that Australia was “an attractive landscape for crypto businesses” despite its complexity.

In March, Australia’s Swyftx announced it was acquiring New Zealand’s largest cryptocurrency exchange for an undisclosed sum.

According to the parties, the merger will create the second-largest platform in Australia by trading volume.

“Australia’s new regulatory framework is akin to rolling out the welcome mat for cryptocurrency exchanges,” Alexander Jader, professor of Digital Business at the Open Institute of Technology, told CCN.

“The clarity provided by these regulations is set to attract a wave of new entrants,” he added.

Jader said regulatory clarity was “the lifeblood of innovation.” He added that the new laws can expect an uptick “in both local and international exchanges looking to establish a foothold in the market.”

However, Zoe Wyatt, partner and head of Web3 and Disruptive Technology at Andersen LLP, believes that while the new rules will benefit more extensive exchanges looking for more precise guidelines, they will not “suddenly turn Australia into a global crypto hub.”

“The Web3 community is still largely looking to the U.S. in anticipation of a more crypto-friendly stance from the Trump administration,” Wyatt added.

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