More than 53,000 degrees in computer science were pursued in the U.S. alone in 2020. The growth rate is 12%, and that percentage is only expected to rise. With computer science being the new trendy career path in 2023 and beyond, it’s logical to explore how a BSc in the field can help.

Whether you want to become a data analyst, web developer, network administrator or software engineer, a BSc Computer Science degree can help you kickstart a career in the ever-growing IT industry.


This article reviews BSc Computer Science subjects in each of the three years of the program, different computer science colleges, course details, and more.


What Are the Subjects in BSc Computer Science?


Most bachelor of computer science programs last three years. Below is an overview of the BSc Computer Science subjects you can expect to find in different educational institutions throughout the study.


BSc Computer Science Subjects 1st Year


BSc Computer Science subjects for first year answer the “What is BSc Computer Science” question in detail. The first year has entry-level programs that introduce the student to the world of computer science. In most colleges, you can attend these courses even if you have no experience in the field because they’re designed for beginners.


Colleges have different approaches when it comes to computer science program syllabi. OPIT is an example of a comprehensive program that offers diverse learning opportunities for students. Here are the BSc Computer Science subjects list for your reference:

  • Technical English – Introduces students to basic terminology used throughout the course.
  • Computer Networks – Helps students understand how computer networks function.
  • Programming Principles – Students get to know how computers work and learn about basic programming tasks and concepts.
  • Computer Architecture – Introduces students to computer systems, data movement, CPU, and other parts of hardware and software.
  • Basic Math – Here the students receive all the knowledge in math they’ll need to build their analytical skills.
  • Web Development – Students learn the science behind the internet, HTTP, and other markup languages.

BSc Computer Science Subjects 2nd Year

  • Database Introduction – Basics of databases and their management systems.
  • The infrastructure of Cloud Computing – Introduction to cloud computing, basic concepts, and important components.
  • Programming Paradigms – Understanding how programming languages work.
  • Business Strategy – Foundations of running a business in modern times.
  • Introduction to AI – Introduction to the important concepts of AI so the student can understand how to use it.
  • Introduction to Machine Learning – Taking the first steps toward machine learning projects.
  • Cloud Development – Introduction and training to create cloud solutions.
  • Digital Marketing – Better understanding of the ins and outs of online marketing and its key concepts.
  • Introduction to Computer Security – Cryptography and other cyber security aspects so the student is aware of common threats and how to solve them.

BSc Computer Science Subjects and Electives 3rd Year


In the third year of BSc Computer Science, you can choose electives depending on your interest. Some subjects you can expect to find include:

  • Cybersecurity – Further education in cybersecurity across systems.
  • Parallel and Distributed Computing – How to create parallel and distributed apps.
  • Machine Learning – A deeper focus on machine learning and the development and training of computer systems required for the projects.
  • Computer Vision – Teaches how computers can read and analyze visual content.
  • Cloud Computing Automation and Ops – A popular specialization, cloud computing automation and ops takes the cloud field more seriously and teaches how to automate tasks.
  • Front-End Programming – This subject focuses on markup languages, libraries, frameworks, and other platforms needed to build websites.
  • Mobile Programming – Creation of apps for Android and iOS mobile devices.
  • Software Engineering – In-depth education in creating, designing, and maintaining software.
  • Computer Science and AI Ethics – Learning how to use computer science ethically and legally.
  • Game Development – Basics of game design, mechanics, interfaces, and more.


Top BSc Computer Science Colleges


If you want to study computer science at the college level, you can explore different traditional and modern programs.

  • Stanford’s Bachelor of Science in Computer Science – Full-time, four years, on campus, in English. A multidisciplinary approach with different levels is available to fit students of different skills.
  • East Central University Online Bachelor of Science in Computer Science – Full/part-time, two years, remote learning in English. The curriculum follows Association for Computing Machinery guidelines.
  • Methodist University Online BSc in Computer Information Technology – Full/part-time, 42 months, remote learning, in English. Offering Cybersecurity and Business Information Systems specializations.
  • The Global American University, BSc in Computer Science – Full-time, four years, on-campus, in English. The overall course is in math, computing, and data analysis.
  • Concordia University’s BS in Computer Science – Full/part-time, eight weeks, remote learning in English. Introduction to the technology career with hands-on practice.
  • Ambrose University’s Bachelor of Science in Computer Science – Full-time, four years, campus learning in English. Focus on computer architecture, application development, and software engineering.
  • Opit’s Bachelor in Modern Computer Science – Self-paced, three years, online, in English. Comprehensive syllabus based on theory and hands-on practice.

Factors to Consider When Choosing a College

  • The College Curriculum – The program shouldn’t be based on outdated textbooks. Rather, it should be flexible and up to date with current software design trends. The problem with traditional learning systems is that they’re mostly based on old information and materials that don’t equip students with functional knowledge.
  • Reputation – The college must have a stellar reputation, easy access to the list of professors, and their publications in peer-reviewed journals.
  • Required Equipment – Ensure you can afford or have access to the necessary equipment to attend the courses, especially if you consider remote learning. See whether any equipment is included in the tuition.
  • Syllabus – The BSc computer science syllabus needs to contain a variety of subjects (like those mentioned above) and not only focus on one or two hard skills or theories. The curriculum should be future-proof and focused on more than just the current needs of the industry.
  • Alumni Experience – Explore how college alumni are doing and find examples of their work online.
  • Internship Opportunities – Does the college you like also provide internships? If not, does the curriculum offer enough hands-on practice?
  • Cost – Last but not least, consider the cost of the program. Weigh up the pros and cons of each college and use your budget to make the final decision. Does the college you want to attend offer financial aid?

BSc Computer Science Course Details


BSc Computer Science duration, fees, and eligibility criteria are other important factors to consider before applying for a program.


Course Duration


A typical course duration for BSc Computer Science is two to three years. Some three-year programs offer a fast-track option allowing you to complete the degree in two years. The course duration plays an important role when planning your studies, especially if you choose the traditional learning method.


Course Fees


Bachelor of Science programs in Computer Science differ in pricing. The fees can depend on several factors:

  • Reputation
  • Location
  • College experience
  • Learning facilities
  • Availability of scholarships

The most sensible approach is to compare the course fees and programs of multiple BSc Computer Science colleges so you can pick the best option that matches your budget and learning goals.


Eligibility Criteria


Different courses and universities offer different eligibility criteria. Most require completion of a 10+2 or similar science stream examination. Some colleges may include a qualifying examination or pre-entry exams. Contact the college you’re interested in attending to get detailed information about their eligibility criteria.


Many online degree programs like OPIT only offer requirements like English proficiency (B2 and higher), a high school or undergraduate degree, or previous work or education experience for credit transfer.


You can find eligibility criteria on the official website of the college in which you’re interested.



Career Opportunities After BSc Computer Science


Almost every industry deploys technology in one way or another, which means that skilled IT professionals are in high demand. With career opportunities everywhere, it’s no wonder the number of computer science students grows exponentially each year.


A Bachelor of Science in Computer Science unlocks the doors to some of today’s best-paid and in-demand jobs. They include, but aren’t limited to the following fields:

  • Data Science
  • Software Development or Engineering
  • App and Game Development
  • Web Development
  • Database Architecture

Importance of Specialization in the Field


Computer science is a broad field. From building applications to analyzing data to providing security for software and companies, there are tons of specializations to choose from. Here’s why it’s important to pick one field of specialization:

  • You get to acquire deep knowledge about your field of interest.
  • You become more competitive and have a higher chance of finding a job to your liking.
  • You unlock new research opportunities.
  • You can advance in your field of specialization and come up with innovative solutions.

Skyrocket Your Career With BSc Computer Science Programs


Pursuing a BSc Computer Science degree will help you unlock numerous rewarding career opportunities with a high-income potential. You also get to be a part of a fast-developing field with unlimited prospects for further development and growth.


Choosing a reputable college and the right bachelor of computer science subjects will help ensure you make the most of your learning experience and will put you on the right track to becoming a successful IT professional.

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Master the AI Era: Key Skills for Success
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Apr 24, 2025 6 min read

The world is rapidly changing. New technologies such as artificial intelligence (AI) are transforming our lives and work, redefining the definition of “essential office skills.”

So what essential skills do today’s workers need to thrive in a business world undergoing a major digital transformation? It’s a question that Alan Lerner, director at Toptal and lecturer at the Open Institute of Technology (OPIT), addressed in his recent online masterclass.

In a broad overview of the new office landscape, Lerner shares the essential skills leaders need to manage – including artificial intelligence – to keep abreast of trends.

Here are eight essential capabilities business leaders in the AI era need, according to Lerner, which he also detailed in OPIT’s recent Master’s in Digital Business and Innovation webinar.

An Adapting Professional Environment

Lerner started his discussion by quoting naturalist Charles Darwin.

“It is not the strongest of the species that survives, nor the most intelligent that survives. It is the one that is the most adaptable to change.”

The quote serves to highlight the level of change that we are currently seeing in the professional world, said Lerner.

According to the World Economic Forum’s The Future of Jobs Report 2025, over the next five years 22% of the labor market will be affected by structural change – including job creation and destruction – and much of that change will be enabled by new technologies such as AI and robotics. They expect the displacement of 92 million existing jobs and the creation of 170 million new jobs by 2030.

While there will be significant growth in frontline jobs – such as delivery drivers, construction workers, and care workers – the fastest-growing jobs will be tech-related roles, including big data specialists, FinTech engineers, and AI and machine learning specialists, while the greatest decline will be in clerical and secretarial roles. The report also predicts that most workers can anticipate that 39% of their existing skill set will be transformed or outdated in five years.

Lerner also highlighted key findings in the Accenture Life Trends 2025 Report, which explores behaviors and attitudes related to business, technology, and social shifts. The report noted five key trends:

  • Cost of Hesitation – People are becoming more wary of the information they receive online.
  • The Parent Trap – Parents and governments are increasingly concerned with helping the younger generation shape a safe relationship with digital technology.
  • Impatience Economy – People are looking for quick solutions over traditional methods to achieve their health and financial goals.
  • The Dignity of Work – Employees desire to feel inspired, to be entrusted with agency, and to achieve a work-life balance.
  • Social Rewilding – People seek to disconnect and focus on satisfying activities and meaningful interactions.

These are consumer and employee demands representing opportunities for change in the modern business landscape.

Key Capabilities for the AI Era

Businesses are using a variety of strategies to adapt, though not always strategically. According to McClean & Company’s HR Trends Report 2025, 42% of respondents said they are currently implementing AI solutions, but only 7% have a documented AI implementation strategy.

This approach reflects the newness of the technology, with many still unsure of the best way to leverage AI, but also feeling the pressure to adopt and adapt, experiment, and fail forward.

So, what skills do leaders need to lead in an environment with both transformation and uncertainty? Lerner highlighted eight essential capabilities, independent of technology.

Capability 1: Manage Complexity

Leaders need to be able to solve problems and make decisions under fast-changing conditions. This requires:

  • Being able to look at and understand organizations as complex social-technical systems
  • Keeping a continuous eye on change and adopting an “outside-in” vision of their organization
  • Moving fast and fixing things faster
  • Embracing digital literacy and technological capabilities

Capability 2: Leverage Networks

Leaders need to develop networks systematically to achieve organizational goals because it is no longer possible to work within silos. Leaders should:

  • Use networks to gain insights into complex problems
  • Create networks to enhance influence
  • Treat networks as mutually rewarding relationships
  • Develop a robust profile that can be adapted for different networks

Capability 3: Think and Act “Global”

Leaders should benchmark using global best practices but adapt them to local challenges and the needs of their organization. This requires:

  • Identifying what great companies are achieving and seeking data to understand underlying patterns
  • Developing perspectives to craft global strategies that incorporate regional and local tactics
  • Learning how to navigate culturally complex and nuanced business solutions

Capability 4: Inspire Engagement

Leaders must foster a culture that creates meaningful connections between employees and organizational values. This means:

  • Understanding individual values and needs
  • Shaping projects and assignments to meet different values and needs
  • Fostering an inclusive work environment with plenty of psychological safety
  • Developing meaningful conversations and both providing and receiving feedback
  • Sharing advice and asking for help when needed

Capability 5: Communicate Strategically

Leaders should develop crisp, clear messaging adaptable to various audiences and focus on active listening. Achieving this involves:

  • Creating their communication style and finding their unique voice
  • Developing storytelling skills
  • Utilizing a data-centric and fact-based approach to communication
  • Continual practice and asking for feedback

Capability 6: Foster Innovation

Leaders should collaborate with experts to build a reliable innovation process and a creative environment where new ideas thrive. Essential steps include:

  • Developing or enhancing structures that best support innovation
  • Documenting and refreshing innovation systems, processes, and practices
  • Encouraging people to discover new ways of working
  • Aiming to think outside the box and develop a growth mindset
  • Trying to be as “tech-savvy” as possible

Capability 7: Cultivate Learning Agility

Leaders should always seek out and learn new things and not be afraid to ask questions. This involves:

  • Adopting a lifelong learning mindset
  • Seeking opportunities to discover new approaches and skills
  • Enhancing problem-solving skills
  • Reviewing both successful and unsuccessful case studies

Capability 8: Develop Personal Adaptability

Leaders should be focused on being effective when facing uncertainty and adapting to change with vigor. Therefore, leaders should:

  • Be flexible about their approach to facing challenging situations
  • Build resilience by effectively managing stress, time, and energy
  • Recognize when past approaches do not work in current situations
  • Learn from and capitalize on mistakes

Curiosity and Adaptability

With the eight key capabilities in mind, Lerner suggests that curiosity and adaptability are the key skills that everyone needs to thrive in the current environment.

He also advocates for lifelong learning and teaches several key courses at OPIT which can lead to a Bachelor’s Degree in Digital Business.

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Lessons From History: How Fraud Tactics From the 18th Century Still Impact Us Today
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Apr 17, 2025 6 min read

Many people treat cyber threats and digital fraud as a new phenomenon that only appeared with the development of the internet. But fraud – intentional deceit to manipulate a victim – has always existed; it is just the tools that have changed.

In a recent online course for the Open Institute of Technology (OPIT), AI & Cybersecurity Strategist Tom Vazdar, chair of OPIT’s Master’s Degree in Enterprise Cybersecurity, demonstrated the striking parallels between some of the famous fraud cases of the 18th century and modern cyber fraud.

Why does the history of fraud matter?

Primarily because the psychology and fraud tactics have remained consistent over the centuries. While cybersecurity is a tool that can combat modern digital fraud threats, no defense strategy will be successful without addressing the underlying psychology and tactics.

These historical fraud cases Vazdar addresses offer valuable lessons for current and future cybersecurity approaches.

The South Sea Bubble (1720)

The South Sea Bubble was one of the first stock market crashes in history. While it may not have had the same far-reaching consequences as the Black Thursday crash of 1929 or the 2008 crash, it shows how fraud can lead to stock market bubbles and advantages for insider traders.

The South Sea Company was a British company that emerged to monopolize trade with the Spanish colonies in South America. The company promised investors significant returns but provided no evidence of its activities. This saw the stock prices grow from £100 to £1,000 in a matter of months, then crash when the company’s weakness was revealed.

Many people lost a significant amount of money, including Sir Isaac Newton, prompting the statement, “I can calculate the movement of the stars, but not the madness of men.

Investors often have no way to verify a company’s claim, making stock markets a fertile ground for manipulation and fraud since their inception. When one party has more information than another, it creates the opportunity for fraud. This can be seen today in Ponzi schemes, tech stock bubbles driven by manipulative media coverage, and initial cryptocurrency offerings.

The Diamond Necklace Affair (1784-1785)

The Diamond Necklace Affair is an infamous incident of fraud linked to the French Revolution. An early example of identity theft, it also demonstrates that the harm caused by such a crime can go far beyond financial.

A French aristocrat named Jeanne de la Mont convinced Cardinal Louis-René-Édouard, Prince de Rohan into thinking that he was buying a valuable diamond necklace on behalf of Queen Marie Antoinette. De la Mont forged letters from the queen and even had someone impersonate her for a meeting, all while convincing the cardinal of the need for secrecy. The cardinal overlooked several questionable issues because he believed he would gain political benefit from the transaction.

When the scheme finally exposed, it damaged Marie Antoinette’s reputation, despite her lack of involvement in the deception. The story reinforced the public perception of her as a frivolous aristocrat living off the labor of the people. This contributed to the overall resentment of the aristocracy that erupted in the French Revolution and likely played a role in Marie Antoinette’s death. Had she not been seen as frivolous, she might have been allowed to live after her husband’s death.

Today, impersonation scams work in similar ways. For example, a fraudster might forge communication from a CEO to convince employees to release funds or take some other action. The risk of this is only increasing with improved technology such as deepfakes.

Spanish Prisoner Scam (Late 1700s)

The Spanish Prisoner Scam will probably sound very familiar to anyone who received a “Nigerian prince” email in the early 2000s.

Victims received letters from a “wealthy Spanish prisoner” who needed their help to access his fortune. If they sent money to facilitate his escape and travel, he would reward them with greater riches when he regained his fortune. This was only one of many similar scams in the 1700s, often involving follow-up requests for additional payments before the scammer disappeared.

While the “Nigerian prince” scam received enough publicity that it became almost unbelievable that people could fall for it, if done well, these can be psychologically sophisticated scams. The stories play on people’s emotions, get them invested in the person, and enamor them with the idea of being someone helpful and important. A compelling narrative can diminish someone’s critical thinking and cause them to ignore red flags.

Today, these scams are more likely to take the form of inheritance fraud or a lottery scam, where, again, a person has to pay an advance fee to unlock a much bigger reward, playing on the common desire for easy money.

Evolution of Fraud

These examples make it clear that fraud is nothing new and that effective tactics have thrived over the centuries. Technology simply opens up new opportunities for fraud.

While 18th-century scammers had to rely on face-to-face contact and fraudulent letters, in the 19th century they could leverage the telegraph for “urgent” communication and newspaper ads to reach broader audiences. In the 20th century, there were telephones and television ads. Today, there are email, social media, and deepfakes, with new technologies emerging daily.

Rather than quack doctors offering miracle cures, we see online health scams selling diet pills and antiaging products. Rather than impersonating real people, we see fake social media accounts and catfishing. Fraudulent sites convince people to enter their bank details rather than asking them to send money. The anonymity of the digital world protects perpetrators.

But despite the technology changing, the underlying psychology that makes scams successful remains the same:

  • Greed and the desire for easy money
  • Fear of missing out and the belief that a response is urgent
  • Social pressure to “keep up with the Joneses” and the “Bandwagon Effect”
  • Trust in authority without verification

Therefore, the best protection against scams remains the same: critical thinking and skepticism, not technology.

Responding to Fraud

In conclusion, Vazdar shared a series of steps that people should take to protect themselves against fraud:

  • Think before you click.
  • Beware of secrecy and urgency.
  • Verify identities.
  • If it seems too good to be true, be skeptical.
  • Use available security tools.

Those security tools have changed over time and will continue to change, but the underlying steps for identifying and preventing fraud remain the same.

For more insights from Vazdar and other experts in the field, consider enrolling in highly specialized and comprehensive programs like OPIT’s Enterprise Security Master’s program.

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