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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Sage: The ethics of AI: how to ensure your firm is fair and transparent
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Mar 7, 2025 3 min read

Source:


By Chris Torney

Artificial intelligence (AI) and machine learning have the potential to offer significant benefits and opportunities to businesses, from greater efficiency and productivity to transformational insights into customer behaviour and business performance. But it is vital that firms take into account a number of ethical considerations when incorporating this technology into their business operations. 

The adoption of AI is still in its infancy and, in many countries, there are few clear rules governing how companies should utilise the technology. However, experts say that firms of all sizes, from small and medium-sized businesses (SMBs) to international corporations, need to ensure their implementation of AI-based solutions is as fair and transparent as possible. Failure to do so can harm relationships with customers and employees, and risks causing serious reputational damage as well as loss of trust.

What are the main ethical considerations around AI?

According to Pierluigi Casale, professor in AI at the Open Institute of Technology, the adoption of AI brings serious ethical considerations that have the potential to affect employees, customers and suppliers. “Fairness, transparency, privacy, accountability, and workforce impact are at the core of these challenges,” Casale explains. “Bias remains one of AI’s biggest risks: models trained on historical data can reinforce discrimination, and this can influence hiring, lending and decision-making.”

Part of the problem, he adds, is that many AI systems operate as ‘black boxes’, which makes their decision-making process hard to understand or interpret. “Without clear explanations, customers may struggle to trust AI-driven services; for example, employees may feel unfairly assessed when AI is used for performance reviews.”

Casale points out that data privacy is another major concern. “AI relies on vast datasets, increasing the risk of breaches or misuse,” he says. “All companies operating in Europe must comply with regulations such as GDPR and the AI Act, ensuring responsible data handling to protect customers and employees.”

A third significant ethical consideration is the potential impact of AI and automation on current workforces. Businesses may need to think about their responsibilities in terms of employees who are displaced by technology, for example by introducing training programmes that will help them make the transition into new roles.

Olivia Gambelin, an AI ethicist and the founder of advisory network Ethical Intelligence, says the AI-related ethical considerations are likely to be specific to each business and the way it plans to use the technology. “It really does depend on the context,” she explains. “You’re not going to find a magical checklist of five things to consider on Google: you actually have to do the work, to understand what you are building.”

This means business leaders need to work out how their organisation’s use of AI is going to impact the people – the customers and employees – that come into contact with it, Gambelin says. “Being an AI-enabled company means nothing if your employees are unhappy and fearful of their jobs, and being an AI-enabled service provider means nothing if it’s not actually connecting with your customers.”

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Reuters: EFG Watch: DeepSeek poses deep questions about how AI will develop
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Feb 10, 2025 4 min read

Source:

  • Reuters, Published on February 10th, 2025.

By Mike Scott

Summary

  • DeepSeek challenges assumptions about AI market and raises new ESG and investment risks
  • Efficiency gains significant – similar results being achieved with less computing power
  • Disruption fuels doubts over Big Tech’s long-term AI leadership and market valuations
  • China’s lean AI model also casts doubt on costly U.S.-backed Stargate project
  • Analysts see DeepSeek as a counter to U.S. tariffs, intensifying geopolitical tensions

February 10 – The launch by Chinese company DeepSeek, opens new tab of its R1 reasoning model last month caused chaos in U.S. markets. At the same time, it shone a spotlight on a host of new risks and challenged market assumptions about how AI will develop.

The shock has since been overshadowed by President Trump’s tariff wars, opens new tab, but DeepSeek is set to have lasting and significant implications, observers say. It is also a timely reminder of why companies and investors need to consider ESG risks, and other factors such as geopolitics, in their investment strategies.

“The DeepSeek saga is a fascinating inflection point in AI’s trajectory, raising ESG questions that extend beyond energy and market concentration,” Peter Huang, co-founder of Openware AI, said in an emailed response to questions.

DeepSeek put the cat among the pigeons by announcing that it had developed its model for around $6 million, a thousandth of the cost of some other AI models, while also using far fewer chips and much less energy.

Camden Woollven, group head of AI product marketing at IT governance and compliance group GRC International, said in an email that “smaller companies and developers who couldn’t compete before can now get in the game …. It’s like we’re seeing a democratisation of AI development. And the efficiency gains are significant as they’re achieving similar results with much less computing power, which has huge implications for both costs and environmental impact.”

The impact on AI stocks and companies associated with the sector was severe. Chipmaker Nvidia lost almost $600 billion in market capitalisation after the DeepSeek announcement on fears that demand for its chips would be lower, but there was also a 20-30% drop in some energy stocks, said Stephen Deadman, UK associate partner at consultancy Sia.

As Reuters reported, power producers were among the biggest winners in the S&P 500 last year, buoyed by expectations of ballooning demand from data centres to scale artificial intelligence technologies, yet they saw the biggest-ever one-day drops after the DeepSeek announcement.

One reason for the massive sell-off was the timing – no-one was expecting such a breakthrough, nor for it to come from China. But DeepSeek also upended the prevailing narrative of how AI would develop, and who the winners would be.

Tom Vazdar, professor of cybersecurity and AI at Open Institute of Technology (OPIT), pointed out in an email that it called into question the premise behind the Stargate Project,, opens new tab a $500 billion joint venture by OpenAI, SoftBank and Oracle to build AI infrastructure in the U.S., which was announced with great fanfare by Donald Trump just days before DeepSeek’s announcement.

“Stargate has been premised on the notion that breakthroughs in AI require massive compute and expensive, proprietary infrastructure,” Vazdar said in an email.

There are also dangers in markets being dominated by such a small group of tech companies. As Abbie Llewellyn-Waters, Investment manager at Jupiter Asset Management, pointed out in a research note, the “Magnificent Seven” tech stocks had accounted for nearly 60% of the index’s gains over the previous two years. The group of mega-caps comprised more than a third of the S&P 500’s total value in December 2024.

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