SE Top-Up Masters (UCAM)
Master of Technology in Software Engineering (Top Up)
18 Months Part-time
Software Engineering
Master’s Degree
Universidad Catolica De Murcia (UCAM)
Course Overview
The “Master of Technology in Software Engineering” program offers an immersive educational experience, combining rigorous academic training with practical exposure. Key modules include UI & UX, where learners focus on design thinking, advanced prototyping techniques, and human-centric design to create intuitive and effective interfaces.
This educational journey equips participants to become versatile software engineers, capable of tackling complex challenges, driving innovation, and leading technological advancements.
Recognize UI/UX principles and develop customer-centric, and data-driven applications
Articulate the use of design patterns, frameworks, and testing methods to ensure that the developed applications meet high standards of quality and reliability.
Exemplify advanced AI concepts, such as Neural Networks, CNNs, RNNs, and techniques for optimizing model efficiency.
Choose suitable tools, techniques, design patterns, frameworks, and software methodologies to develop robust and efϐicient applications.
Master these tech tools
E-Learning
80 hours
80 hours
Projects/Assignments
120 hours
120 hours
Flipped Class/Mentoring
40 hours
40 hours
Additional Practice
-hours
-hours
Assessment
-hours
-hours
Prerequisites
Target Audience
Candidates must have a minimum of a second-class bachelor’s degree from a recognized university or is a Polytechnic Diploma holders in STEM with minimum 5 years of relevant working experience. Those with a recognized professional qualification and relevant work experience, and mature candidates with a minimum of 8 years of relevant work experience will be considered on a case-by-case basis.
Admission Prerequisite
Academic Qualification:
IELTS 6.5 (with no elements lower than 5.5) or its equivalent
Minimum second-class bachelor’s degree in any field from the recognized University
- Non-graduates with appropriate professional qualifications will be considered on a case-to-case basis by the University
- Polytechnic Diploma in STEM with relevant experience will be considered on a case-to-case basis by the University
- Matured candidates with a minimum of 8 years of relevant experience will be considered on a case-to-case basis
IELTS 6.5 (with no elements lower than 5.5) or its equivalent
Graduation Requirements
Minimum attendance of 75% in all the sessions of each module
Minimum pass grade in the summative assessment of each module
Minimum pass grade in the summative assessment of each module
Module Summary
Module 1
Module 2
Module 3
Module 4
Module 1
UX UI Design
Session Plan Details
Gain expertise in UI Frameworks with design thinking, UI heuristics, prototyping, and usability testing. Master accessibility standards and high-fidelity prototyping. Develop skills in UX research, user interviews, and surveys. Showcase proficiency in wireframing, prototyping, and usability testing through hands-on projects.
What You’ll Learn
- Persona creation
- Information Architecture and Interaction Design
- Visual Design and Branding
- Prototyping
- Usability Testing & Documentation
Module 2
Machine Learning
Session Plan Details
Gain a solid foundation in machine learning concepts and techniques. Explore supervised learning for classification and regression, and unsupervised learning for clustering and anomaly detection. Enhance model performance with feature selection and hyperparameter tuning. Learn to implement machine learning pipelines for data preprocessing, training, and evaluation.
What You’ll Learn
- Introduction To Machine Learning
- Supervised Machine Learning
- Unsupervised Machine Learning
- Improve Model Performance
- Hyperparameter Tuning
Module 3
Deep Learning
Session Plan Details
Acquire essential knowledge and skills in AI and Deep Learning. Learn about Artificial Neural Networks, CNNs, and RNNs, and optimize model performance. Gain hands-on experience deploying Deep Learning models for real-world applications, particularly in image recognition using CNNs. Develop proficiency in designing and fine-tuning Neural Networks for image processing tasks, preparing to solve complex AI and Computer Vision challenges.
What You’ll Learn
- Introduction to AI and Deep Learning
- Artificial Neural Networks
- Convolutional Neural Networks
- Recurrent Neural Networks
- Techniques for Optimizing Model Performance
Module 4
Reinforcement Learning
Session Plan Details
Acquire comprehensive knowledge and practical skills in Reinforcement Learning through focused instructional units. Master fundamental concepts and explore algorithms and real-world applications. Learn about exploration-exploitation trade-offs and problem-solving techniques like Markov Decision Processes and Q-learning. Gain hands-on experience through projects spanning different units, mastering deployment of RL methodologies across diverse scenarios.
What You’ll Learn
- Introduction to Reinforcement Learning
- Types and Applications of Reinforcement Learning
- Bandits and Exploration Strategies
- Solving the Reinforcement Learning Problem
- Advanced Reinforcement Learning Techniques
Module 1
Module 2
Module 3
Module 4
Module 1
UX UI Design
Session Plan Details
Gain expertise in UI Frameworks with design thinking, UI heuristics, prototyping, and usability testing. Master accessibility standards and high-fidelity prototyping. Develop skills in UX research, user interviews, and surveys. Showcase proficiency in wireframing, prototyping, and usability testing through hands-on projects.
What You’ll Learn
- Persona creation
- Information Architecture and Interaction Design
- Visual Design and Branding
- Prototyping
- Usability Testing & Documentation
Module 2
Machine Learning
Session Plan Details
Gain a solid foundation in machine learning concepts and techniques. Explore supervised learning for classification and regression, and unsupervised learning for clustering and anomaly detection. Enhance model performance with feature selection and hyperparameter tuning. Learn to implement machine learning pipelines for data preprocessing, training, and evaluation.
What You’ll Learn
- Introduction To Machine Learning
- Supervised Machine Learning
- Unsupervised Machine Learning
- Improve Model Performance
- Hyperparameter Tuning
Module 3
Deep Learning
Session Plan Details
Acquire essential knowledge and skills in AI and Deep Learning. Learn about Artificial Neural Networks, CNNs, and RNNs, and optimize model performance. Gain hands-on experience deploying Deep Learning models for real-world applications, particularly in image recognition using CNNs. Develop proficiency in designing and fine-tuning Neural Networks for image processing tasks, preparing to solve complex AI and Computer Vision challenges.
What You’ll Learn
- Introduction to AI and Deep Learning
- Artificial Neural Networks
- Convolutional Neural Networks
- Recurrent Neural Networks
- Techniques for Optimizing Model Performance
Module 4
Reinforcement Learning
Session Plan Details
Acquire comprehensive knowledge and practical skills in Reinforcement Learning through focused instructional units. Master fundamental concepts and explore algorithms and real-world applications. Learn about exploration-exploitation trade-offs and problem-solving techniques like Markov Decision Processes and Q-learning. Gain hands-on experience through projects spanning different units, mastering deployment of RL methodologies across diverse scenarios.
What You’ll Learn
- Introduction to Reinforcement Learning
- Types and Applications of Reinforcement Learning
- Bandits and Exploration Strategies
- Solving the Reinforcement Learning Problem
- Advanced Reinforcement Learning Techniques
Flexible Learning Pathway
After meeting the graduation requirements, the candidate will be awarded a top-up degree.
Professional Certificate in AI Application Development
Professional Certificate
Professional Diploma in Full Stack Software Development
Professional Diploma
Master of Technology in Software Engineering (Top Up)
Master’s Degree
Certification(s)
Certification(s) Earned
- Master of Technology in Software Engineering awarded by Universidad Catolica De Murcia (UCAM), Spain
Pricing
Course Fee
USD 3,000
Payment Plan
Tuition fee is available for full payment and installments before the start of class. For more details Contact Us.
| Master of Technology in Software Engineering (Top Up) | Installment Plan | Tuition Fees |
|---|---|---|
| Month 1 | USD 1,050 | |
| Month 2-4 | USD 150 /month | |
| Month 5 | USD 1,050 | |
| Month 6-8 | USD 150 /month | |
| Total | 8 installments | USD 3,000 |
About Universidad Catolica De Murcia
Founded in 1996, Universidad Católica de Murcia (UCAM) stands as a prestigious private university located in Murcia, Spain. Dedicated to academic excellence and innovation, UCAM offers a wide range of undergraduate, postgraduate, and doctoral programs across various fields including health sciences, sports, business, humanities, and technology. The university prides itself on its commitment to personalized education, integrating theoretical knowledge with practical skills through modern teaching methodologies and state-of-the-art facilities. UCAM’s programs are designed to prepare students for successful careers in their chosen fields, fostering critical thinking, creativity, and a global perspective.
UCAM places a strong emphasis on research and innovation, collaborating with industry and international institutions to address contemporary challenges. With a diverse and multicultural environment, UCAM welcomes students from around the world, providing them with opportunities to engage in cultural exchange and broaden their perspectives. Through its strong network of partnerships and a commitment to holistic development, UCAM prepares graduates to make meaningful contributions to society and thrive in a competitive global landscape.
Learn more ucam.edu
We enable our learners to work as full-time, paid apprentices just after 12 months of enrolment. We expect that 80% of our cohort earn up to USD 16,200 during this bachelor’s degree program.
- We have introduced a Minimum Income Assurance scheme to ensure our student earn at least USD 6,000 from the 3-year apprenticeship to pay their tuition fees and other expenses (T&Cs applied).
- Student who is unable to get employed or employed with income lower than USD 300 after the bootcamp will be able to pay USD 100 per month for next 12 months or based on income earned whichever is higher (Cap at USD 300 per month). T&Cs Applies. Scenarios for Income Assurance after Bootcamp
- Scenario 1: Student able to secure an apprenticeship earning USD 300 or above after bootcamp. Student will continue the installment payment as per standard installment plan.
- Scenario 2: Student able to secure an apprenticeship earning USD 200. Student will only require to pay USD 200 (tag to income earned cap at USD 300) from 13th month to 24th month.
- Scenario 3: Student unable to secure an apprenticeship after bootcamp. Student will only require to pay USD 100 per month while undergoing reskilling for the next 12 months till student got hired and installment shall be based on income earned (cap at USD 300)
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Scenarios for Income Assurance after Course Completion
- Scenario 1: Assuming you managed to earn USD 5,000 and fulfilling all T&Cs. We will top up the difference less any discount to ensure you earn at least USD 6,000. So your out of pocket investment is no more than USD 6,000
- Scenario 2: Assuming you managed to earn USD 10,000 which is above the income assurance, there will be no top-up.
- Scenario 3: Assuming you managed to earn USD 16,000 which is above the income assurance, there will be no top-up. In fact, you have a net profit of USD 4,000
EduCLaaS will match you to employers who have ready jobs to offer. EduCLaaS will continue to match you to more employers and provide you the necessary coaching and mentoring between the interviews. So far, all EduCLaaS’s students have been inducted into jobs successfully.
EduCLaaS will match you to interview with international or local companies. EduCLaaS’s employers have endorsed the program and are confident of the quality of EduCLaaS’s training and the jobs will be relevant to the studies.
Student can choose to continue in the existing company. However, student does not has the obligation to stay in the same company if there are other better opportunities.
The graduation may either take place in one our host country, awarding Univesity or Singapore. Accomodation, travel and other expenses will be beared by the students. The graduation will be held at the local awarding University.
All lectures, group projects and mentoring will take place via virtual learning, and you can study at the comfort of your home or anywhere as long as you have good internet access. If you are interested to study with one of our learning partners campuses, we can refer you to one of the partners that has an intake this period and closest to you, but the installment plan may vary.
An “A” Level pass in English is all that is required for the program! Do not worry if you are not confident in your English, this is the perfect opportunity to learn and polish your English in a multi-racial and culture environment with classmates from different countries.
Yes, all lessons are taught in English. Discussions with peers and guided mentoring by industry professionals will also be conducted in English. This is a great opportunity to improve your English proficiency in an inclusive environment by practicing with other students, lectures, and mentors from around the world.
Academic University
- Traditional universities spend 3-4 years teaching general topics that students do not use once they specialize.
- Study only 3-4 times a week and 4-5 hours per day in a traditional University
- Lessons are concept and theory-based which puts their graduates in the disadvantage position in the digital world. eduCLaaS
- Introduce you to the core subject at the start of the program
- In the 1st year bootcamp, you spend 6 months to build your knowledge and 6 months to hone your skills through extensive real-life assignments and commercial projects. Though this, you will gain 2,000 hours of pratical skills
- Year 2 to 4, improve your skills by working on more advance projects with your employer, and at the same time study part time to acquire 21st century skills and advanced skills.
- Stable internet connection with a minimum of 30GB internet connection quota per month at home for off-campus assignments.
- A working computer or laptop with a minimum specification of 8GB RAM, 500GB HDD equipped with a minimum i5 processor, with camera.
- A working headphone or earphone
Monthly Tuition Fees
Year 1 – USD 100 (USD 300 per quarter)
Year 2 – USD 300
Year 3 – USD 300
Year 4 – USD 300
—-
TOTAL: USD 12,000
Apprenticeship Salary
• Year 2 – Up to USD 300/mth
• Year 3 – Up to USD 450/mth
• Year 4 – Up to USD 600/mth
• Total – Up to USD 16,200
As far as digital ad spending, growing Internet users, and the prevalence of digital media is still going on, Omni-Channel Digital Marketers will continously be in high demand. As these are marketing experts who can plan, execute, and analyse marketing campaigns from offline to online, effectively capturing the entire target audience base.
The career progresses from Digital Marketing Executive earning around $550-$740 to Digital Marketing Manager which earns around $740-$850. With much more years of experience, you can earn up to $900-$1,200 as a Digital Marketing Head/Director.
eduCLaaS – eduCLaaS is a Pan-Asia Digital Learning and Talent Platform which aims to deliver talent and enterprise growth with CLaaS® for inclusive digital economy transformation. eduCLaas as the subsidiary of Lithan Academy is an accredited training organization endorsed by various government agencies under Singapore’s ministry of education. Learn more at educlaas.com
Pearson – In the UK, Pearson is the largest awarding organisation offering academic and vocational qualifications that are globally recognised and benchmarked, with educational excellence rooted in names like Edexcel, BTEC, including BTEC Higher Nationals, and LCCI. Learn more at uk.pearson.com
UCAM – Founded in 1996, Universidad Católica de Murcia (UCAM) stands as a prestigious private university located in Murcia, Spain. UCAM’s programs are designed to prepare students for successful careers in their chosen fields, fostering critical thinking, creativity, and a global perspective. Learn more at ucam.edu
UoR – The University of Roehampton, London, has a proud history in higher education stretching back 180 years. While still focused on its pioneering values and teaching heritage from its 19th-century collegiate roots, the University has developed a diverse curriculum that reflects London’s multicultural creative spirit. It offers a high-quality UK education experience to more than 10,000 students from 141 countries. Learn more at roehampton.ac.uk
Student will be able to receive multi credentials from different awarding bodies. Student will be able to receive the following credentials.
. HIgher Diploma from Lithan Academy, Singapore
. Top-up Bachelor’s Degree from UoR, UK or UCAM, Spain
For Digital Business: you will receive Bachelor of Science in Business Management & Marketing from University of Roehampton (UoR) or Bachelor of Digital Business from Universidad Catolica De Murcia (UCAM).
OR local bachelor’s degree awarding title that will depends on the local University partner policy
For Higher Diploma:
Academic Qualification:
-Minimum 1 credit in (Credit in English) GCE A level or its equivalent
– Foundation Diploma in Business, IT, or its related. This must be secured through 9 months full-time or 12-month part-time course. If the duration of the course is less than this, they are not eligible.
-Polytechnic Diploma in Business or Management will be considered on a case-to-case basis
-Matured candidates with relevant experience for minimum of 8 years and above will be considered on a case-to-case basis.
English Proficiency:
-IELTS 5.5 or its equivalent or candidate who has completed school education in English as medium of instruction