According to Data USA, degrees in the business field are among the most popular in the United States, with 840,116 degrees in this field alone being awarded in 2020. You went down the commerce route (meaning you have a grasp of business administration, accounting, and applied economics) and now you’re interested in practical applications of your knowledge.
With your commerce degree firmly under your belt, you may feel like a ship without a rudder – aimless and having no idea what direction to go. Happily, the tech field is ready and waiting for you, as a career in computer sciences may await. Here, we ask, “can a commerce student do BSc Computer Science?” The answer may surprise you, especially if you’re worried that a computer science degree’s eligibility requirements are outside the scope of what you learned in your commerce studies.
Background on Commerce and Computer Science
On the surface, commerce and computer science may seem like they go together as well as peanut butter and granite. But if you dig a little deeper into the scope of each subject, you start to realize that there’s more crossover than there first appears:
- Commerce – A degree in commerce gives you a firm grasp of the numbers that lie behind the scenes in a business, with banking, economics, and accounting all falling under your developing areas of expertise. Analytics is also a key part of these courses (especially in the research and data analyst fields), which is where we see some crossover with computer science.
- Computer Science – If commerce is all about the behind-the-scenes numbers in business, computer science handles what goes on under the hood in computing. Software development, data modeling, and analysis all fall under the computer science graduate’s remit, with the ability to pore through data to come to conclusions being essential to this technical subject.
It’s in the analysis that we start to see similarities between commerce and computer science emerge. Yes, commerce focuses more on the numbers behind businesses (and wider economic trends), but the ability to understand the data presented and report on what you see has applications in the computer science field. There’s not a direct crossover, as computer science will require you to learn the “language” in which computers speak, but they are many soft skills you develop in a commerce degree that apply to computer science.
Eligibility for BSc Computer Science
The key questions to ask when considering the issue of whether can commerce student do BSc Computer Science split into two categories:
- The general eligibility requirements to study a BSc in computer science
- Specific requirements that apply to commerce students
Eligibility Criteria for BSc Computer Science
BSc Computer Science degrees don’t require a great deal of computer know-how (though it helps), instead focusing on your grasp of mathematics. Requirements include the following:
- A high school diploma (or your country’s equivalent) that shows solid performance in mathematical subjects.
- Some degrees require you to achieve a specific Grade Point Average (GPA), though the specific GPA varies depending on where you apply.
- A high level of English proficiency, which can be measured using one (or both) of the following tests:
- IELTS – Get a minimum score between 6.0 and 7.0
- TOEFL – Get a minimum score between 90 and 100
Beyond these educational requirements, international students may need to submit copies of their passport and Visa, alongside certified academic transcripts to show they’ve achieved their country’s equivalents of the above grades. Not all courses require this of international students, with some online universities focusing more on your academic skills and less on your country of origin.
In terms of entrance exams, some colleges enforce computer science-specific exams (such as the CUET or CUCET), while others use NPATS or similar, more general exams, to determine proficiency.
Eligibility Criteria for Commerce Students
You may be standing at the starting line of your educational journey, meaning you’ve not yet applied to start your degree in commerce. First, congratulations on thinking so far ahead that you’re wondering “Can a commerce student do BSc Computer Science?” And second, you need to know what high school subjects help you get onto this degree path.
Commerce is a form of business degree, meaning any high school subjects that apply to the economic world help. Subjects like math, finance, economics, and foreign languages are obvious choices. The likes of marketing and computer applications also help (with the latter also laying some groundwork for your later computer science studies.
Much like computer science, you’ll likely have to take an entrance exam when applying to study commerce at most universities. The CSEET, CUET, and SET are common choices, with the first of these exams focusing specifically on those who study commerce to work as company secretaries.
The Possibility of Flexible Eligibility Criteria
Not all colleges require you to take entrance exams, with some even using broader strokes for their eligibility requirements to the point where they provide flexibility for both commerce and computer science students.
Colleges with open curriculums (such as Brown University and Hamilton College) offer more freedom in terms of what you study, with their entry requirements being more flexible as a result. Online institutions, such as the Open Institute of Technology (OPIT) may also offer more flexible entry criteria, sometimes allowing you to transfer credit from one course to another. That type of credit transfer may be ideal for you if you start a degree in commerce only to later decide to go down the computer science route.
Career Prospects for Commerce Students in Computer Science
When it comes to careers for those who hold computer science degrees, the obvious heavy-hitters are software and web development, IT management, and systems architecture. There are also exciting careers in the emerging AI fields that take full advantage of the technical skills you’ll develop as part of a BSc in computer science.
As for the career crossover between commerce and computer science, the key is to think about the skills that a commerce degree gives you that can apply in the computing field. Such skills include the following:
- Analytical Skills – Much like computer science, commerce is all about analyzing the data presented so you can report (and leverage) it for other purposes. Your ability to sit down and pore through the numbers will take you a long way in a computer-related role.
- Problem-Solving Skills – Closely linked to analytical skills, the ability to solve problems requires you to see the data at hand and come up with solutions while accounting for any restrictions presented. In creating commerce models, those restrictions may relate to budget and competencies, while computer science asks you to solve problems while taking system capabilities and limitations into account.
- Communication and Teamwork – Though often considered soft skills (as opposed to the “hard” technical skills you learn in a commerce degree), communication and teamwork are vital. If you need proof, try to work alone in any technical career and you’ll see why it’s so crucial to have these skills.
Potential Career Paths for Commerce Students with a BSc in Computer Science
With so much crossover potential between commerce and computer science, it’s clear that the answer to the question can a commerce student do BSc Computer Science is a resounding “yes.” And once you’ve completed your studies, several career paths await:
- Data Analyst – Reviewing data to find insights (be that into businesses or computer systems) are part of the remit for a data analyst. This role is all about problem-solving, which is a skill you’ll develop in abundance as a commerce and computer science student.
- Business Analyst – Take the ability to gather insights that is required of a data analyst and apply it specifically to areas of improvement in a business to become a business analyst. You’ll combine technical knowledge of a company’s inner workings with complex financial (and computational) models.
- IT Consultant – More computer science-centric than commerce-focused, IT consultants deal with the hows and whys of the computer networks businesses build. Your commerce skills will still come into play though, particularly when explaining how IT benefits businesses financially.
- Financial Technology Specialist – Combining the best of both worlds, this role combines the accounting skills you develop studying commerce with the technical ability needed to understand software and its functions.
Challenges and Considerations for Commerce Students
Though it’s possible for a commerce student to study (and succeed in) computer science, there are some challenges to consider.
The Technical Nature of Computer Science
As you learn the language of numbers in a commerce degree, so must you learn the language of machines when studying computer science. Getting to grips with the lingo (not to mention coding) can present a challenge to more business-minded students.
Balancing Your Workload
There’s an old saying that goes “Don’t burn the candle at both ends,” which is a warning not to pack too much onto your work plate. If you study commerce and computer science simultaneously, there’s a risk you may push yourself too far. Avoiding burnout requires finding the balance between your studies and personal time.
Networking and Practical Experience
As a commerce student, you understand that the world of business is as much about who you know as what you know. Finding the right people to take a chance on you, thus giving you practical experience, can be tough. But when armed with a pair of degrees in subjects that complement one another, you’re in a better position to build connections with people who can help you go far.
From Commerce to Computing – Is It Right for You?
So, can a commerce student do BSc Computer Science?
The answer isn’t just “yes,” but that it’s actually a great direction to go. Where a commerce degree equips you with a nice mix of technical knowledge and soft skills, a computer science course gives you even more practical knowledge that allows you to enter more specialized fields. However, your interest in each subject plays a role, as your ability (and passion) for studying hinges on your desire to dig into the more technical world of computing.
Assuming you have a genuine interest (and meet the appropriate eligibility criteria), supplementing your commerce studies with computer science can open up many career paths.
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Source:
- The Yuan, Published on October 25th, 2024.
By Zorina Alliata
Artificial intelligence is a classic example of a mismatch between perceptions and reality, as people tend to overlook its positive aspects and fear it far more than what is warranted by its actual capabilities, argues AI strategist and professor Zorina Alliata.
ALEXANDRIA, VIRGINIA – In recent years, artificial intelligence (AI) has grown and developed into something much bigger than most people could have ever expected. Jokes about robots living among humans no longer seem so harmless, and the average person began to develop a new awareness of AI and all its uses. Unfortunately, however – as is often a human tendency – people became hyper-fixated on the negative aspects of AI, often forgetting about all the good it can do. One should therefore take a step back and remember that humanity is still only in the very early stages of developing real intelligence outside of the human brain, and so at this point AI is almost like a small child that humans are raising.
AI is still developing, growing, and adapting, and like any new tech it has its drawbacks. At one point, people had fears and doubts about electricity, calculators, and mobile phones – but now these have become ubiquitous aspects of everyday life, and it is not difficult to imagine a future in which this is the case for AI as well.
The development of AI certainly comes with relevant and real concerns that must be addressed – such as its controversial role in education, the potential job losses it might lead to, and its bias and inaccuracies. For every fear, however, there is also a ray of hope, and that is largely thanks to people and their ingenuity.
Looking at education, many educators around the world are worried about recent developments in AI. The frequently discussed ChatGPT – which is now on its fourth version – is a major red flag for many, causing concerns around plagiarism and creating fears that it will lead to the end of writing as people know it. This is one of the main factors that has increased the pessimistic reporting about AI that one so often sees in the media.
However, when one actually considers ChatGPT in its current state, it is safe to say that these fears are probably overblown. Can ChatGPT really replace the human mind, which is capable of so much that AI cannot replicate? As for educators, instead of assuming that all their students will want to cheat, they should instead consider the options for taking advantage of new tech to enhance the learning experience. Most people now know the tell-tale signs for identifying something that ChatGPT has written. Excessive use of numbered lists, repetitive language and poor comparison skills are just three ways to tell if a piece of writing is legitimate or if a bot is behind it. This author personally encourages the use of AI in the classes I teach. This is because it is better for students to understand what AI can do and how to use it as a tool in their learning instead of avoiding and fearing it, or being discouraged from using it no matter the circumstances.
Educators should therefore reframe the idea of ChatGPT in their minds, have open discussions with students about its uses, and help them understand that it is actually just another tool to help them learn more efficiently – and not a replacement for their own thoughts and words. Such frank discussions help students develop their critical thinking skills and start understanding their own influence on ChatGPT and other AI-powered tools.
By developing one’s understanding of AI’s actual capabilities, one can begin to understand its uses in everyday life. Some would have people believe that this means countless jobs will inevitably become obsolete, but that is not entirely true. Even if AI does replace some jobs, it will still need industry experts to guide it, meaning that entirely new jobs are being created at the same time as some older jobs are disappearing.
Adapting to AI is a new challenge for most industries, and it is certainly daunting at times. The reality, however, is that AI is not here to steal people’s jobs. If anything, it will change the nature of some jobs and may even improve them by making human workers more efficient and productive. If AI is to be a truly useful tool, it will still need humans. One should remember that humans working alongside AI and using it as a tool is key, because in most cases AI cannot do the job of a person by itself.
Is AI biased?
Why should one view AI as a tool and not a replacement? The main reason is because AI itself is still learning, and AI-powered tools such as ChatGPT do not understand bias. As a result, whenever ChatGPT is asked a question it will pull information from anywhere, and so it can easily repeat old biases. AI is learning from previous data, much of which is biased or out of date. Data about home ownership and mortgages, e.g., are often biased because non-white people in the United States could not get a mortgage until after the 1960s. The effect on data due to this lending discrimination is only now being fully understood.
AI is certainly biased at times, but that stems from human bias. Again, this just reinforces the need for humans to be in control of AI. AI is like a young child in that it is still absorbing what is happening around it. People must therefore not fear it, but instead guide it in the right direction.
For AI to be used as a tool, it must be treated as such. If one wanted to build a house, one would not expect one’s tools to be able to do the job alone – and AI must be viewed through a similar lens. By acknowledging this aspect of AI and taking control of humans’ role in its development, the world would be better placed to reap the benefits and quash the fears associated with AI. One should therefore not assume that all the doom and gloom one reads about AI is exactly as it seems. Instead, people should try experimenting with it and learning from it, and maybe soon they will realize that it was the best thing that could have happened to humanity.
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Source:
- The European Business Review, Published on October 27th, 2024.
By Lokesh Vij
Lokesh Vij is a Professor of BSc in Modern Computer Science & MSc in Applied Data Science & AI at Open Institute of Technology. With over 20 years of experience in cloud computing infrastructure, cybersecurity and cloud development, Professor Vij is an expert in all things related to data and modern computer science.
In today’s rapidly evolving technological landscape, the fields of blockchain and cloud computing are transforming industries, from finance to healthcare, and creating new opportunities for innovation. Integrating these technologies into education is not merely a trend but a necessity to equip students with the skills they need to thrive in the future workforce. Though both technologies are independently powerful, their potential for innovation and disruption is amplified when combined. This article explores the pressing questions surrounding the inclusion of blockchain and cloud computing in education, providing a comprehensive overview of their significance, benefits, and challenges.
The Technological Edge and Future Outlook
Cloud computing has revolutionized how businesses and individuals’ access and manage data and applications. Benefits like scalability, cost efficiency (including eliminating capital expenditure – CapEx), rapid innovation, and experimentation enable businesses to develop and deploy new applications and services quickly without the constraints of traditional on-premises infrastructure – thanks to managed services where cloud providers manage the operating system, runtime, and middleware, allowing businesses to focus on development and innovation. According to Statista, the cloud computing market is projected to reach a significant size of Euro 250 billion or even higher by 2028 (from Euro 110 billion in 2024), with a substantial Compound Annual Growth Rate (CAGR) of 22.78%. The widespread adoption of cloud computing by businesses of all sizes, coupled with the increasing demand for cloud-based services and applications, fuels the need for cloud computing professionals.
Blockchain, a distributed ledger technology, has paved the way by providing a secure, transparent, and tamper-proof way to record transactions (highly resistant to hacking and fraud). In 2021, European blockchain startups raised $1.5 billion in funding, indicating strong interest and growth potential. Reports suggest the European blockchain market could reach $39 billion by 2026, with a significant CAGR of over 47%. This growth is fueled by increasing adoption in sectors like finance, supply chain, and healthcare.
Addressing the Skills Gap
Reports from the World Economic Forum indicate that 85 million jobs may be displaced by a shift in the division of labor between humans and machines by 2025. However, 97 million new roles may emerge that are more adapted to the new division of labor between humans, machines, and algorithms, many of which will require proficiency in cloud computing and blockchain.
Furthermore, the World Economic Forum predicts that by 2027, 10% of the global GDP will be tokenized and stored on the blockchain. This massive shift means a surge in demand for blockchain professionals across various industries. Consider the implications of 10% of the global GDP being on the blockchain: it translates to a massive need for people who can build, secure, and manage these systems. We’re talking about potentially millions of jobs worldwide.
The European Blockchain Services Infrastructure (EBSI), an EU initiative, aims to deploy cross-border blockchain services across Europe, focusing on areas like digital identity, trusted data sharing, and diploma management. The EU’s MiCA (Crypto-Asset Regulation) regulation, expected to be fully implemented by 2025, will provide a clear legal framework for crypto-assets, fostering innovation and investment in the blockchain space. The projected growth and supportive regulatory environment point to a rising demand for blockchain professionals in Europe. Developing skills related to EBSI and its applications could be highly advantageous, given its potential impact on public sector blockchain adoption. Understanding the MiCA regulation will be crucial for blockchain roles related to crypto-assets and decentralized finance (DeFi).
Furthermore, European businesses are rapidly adopting digital technologies, with cloud computing as a core component of this transformation. GDPR (Data Protection Regulations) and other data protection laws push businesses to adopt secure and compliant cloud solutions. Many European countries invest heavily in cloud infrastructure and promote cloud adoption across various sectors. Artificial intelligence and machine learning will be deeply integrated into cloud platforms, enabling smarter automation, advanced analytics, and more efficient operations. This allows developers to focus on building applications without managing servers, leading to faster development cycles and increased scalability. Processing data closer to the source (like on devices or local servers) will become crucial for applications requiring real-time responses, such as IoT and autonomous vehicles.
The projected growth indicates a strong and continuous demand for blockchain and cloud professionals in Europe and worldwide. As we stand at the “crossroads of infinity,” there is a significant skill shortage, which will likely increase with the rapid adoption of these technologies. A 2023 study by SoftwareOne found that 95% of businesses globally face a cloud skills gap. Specific skills in high demand include cloud security, cloud-native development, and expertise in leading cloud platforms like AWS, Azure, and Google Cloud. The European Commission’s Digital Economy and Society Index (DESI) highlights a need for improved digital skills in areas like blockchain to support the EU’s digital transformation goals. A 2023 report by CasperLabs found that 90% of businesses in the US, UK, and China adopt blockchain, but knowledge gaps and interoperability challenges persist.
The Role of Educational Institutions
This surge in demand necessitates a corresponding increase in qualified individuals who can design, implement, and manage cloud-based and blockchain solutions. Educational institutions have a critical role to play in bridging this widening skills gap and ensuring a pipeline of talent ready to meet the demands of this burgeoning industry.
To effectively prepare the next generation of cloud computing and blockchain experts, educational institutions need to adopt a multi-pronged approach. This includes enhancing curricula with specialized programs, integrating cloud and blockchain concepts into existing courses, and providing hands-on experience with leading technology platforms.
Furthermore, investing in faculty development to ensure they possess up-to-date knowledge and expertise is crucial. Collaboration with industry partners through internships, co-teach programs, joint research projects, and mentorship programs can provide students with invaluable real-world experience and insights.
Beyond formal education, fostering a culture of lifelong learning is essential. Offering continuing education courses, boot camps, and online resources enables professionals to upskill or reskill and stay abreast of the latest advancements in cloud computing. Actively promoting awareness of career paths and opportunities in this field and facilitating connections with potential employers can empower students to thrive in the dynamic and evolving landscape of cloud computing and blockchain technologies.
By taking these steps, educational institutions can effectively prepare the young generation to fill the skills gap and thrive in the rapidly evolving world of cloud computing and blockchain.
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