HED SE Top-Up Bachelors UCAM
Bachelor of Technology in Software Engineering (Top Up)
24 months Part-time
Software Engineering
Bachelor’s Degree
Universidad Catolica De Murcia (UCAM)
Course Overview
The “Bachelor of Technology in Software Engineering” is the next step towards the bachelor’s degree after earning a Higher Diploma by Lithan Academy.
It emphasizes theoretical and practical skills, preparing graduates to become skilled, industry-ready, dynamic software engineers. Key skills acquired include mastering data modeling and visualization using Power BI, machine learning application skills, AI and deep learning, focusing on Neural Networks, CNNs, and RNNs.
Develop secure and scalable applications prioritizing customer satisfaction and business user requirements.
Explore optimal resolution strategies through software requirements evaluation and obstacles implementation identification.
Employ tools, design patterns, frameworks, and methodologies to develop resilient applications safeguarding digital assets.
Strategize and execute testing methods, procedures, and tools ensuring software quality and reliability.
Apply machine learning insights and critical thinking to visualize complex data models for data-driven decision-making.
Master these tech tools
E-Learning
80 hours
Projects/Assignments
180 hours
Flipped Class/Mentoring
40 hours
Additional Practice
– hours
Assessment
2.5 hours
Prerequisites
Target Audience
Students who have fulfilled the prerequisites by successfully completing the Higher Diploma in Software Engineering by Lithan Academy and wish to further their educational pursuits.
Admission Prerequisite
Academic Qualification:
- Higher Diploma in Software Engineering by Lithan Academy
English Proficiency:
IELTS 5.5 or its equivalent or candidate who has completed school education in English as medium of instruction
Graduation Requirements
Minimum attendance of 75% in all the sessions of each module
Minimum pass grade in the summative assessment of each module.
Module Summary
Module 1
Module 2
Module 3
Module 4
Module 5
Module 1
Data Analytics
Session Plan Details
Be equipped with essential skills in data modeling and visualization using Power BI. Starting from introduction to data analytics and Power BI, followed by mastering data transformation, data modeling, and report creation. The module culminates in developing interactive dashboards. Gain practical experience, preparing them to leverage Power BI for data-driven decision-making in real-world scenarios.
What You’ll Learn
- Fundamentals of Data Analytics and Power BI
- Power BI Transformation
- Power BI Data Modelling
- Power BI Reports
- Power BI Dashboards
Module 2
Machine Learning
Session Plan Details
Learn through a comprehensive curriculum, covering fundamentals, supervised and unsupervised learning, and model performance enhancement. Gain skills in feature selection, hyperparameter tuning, and implementing machine learning pipelines. Develop and deploy models, applying their knowledge to real-world scenarios. Be equipped to tackle machine learning tasks, optimize performance, and contribute to diverse applications in the field.
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 knowledge and skills in AI, focusing on Artificial Neural Networks, CNNs, and RNNs. Optimize model performance, implement deep learning pipelines, and deploy models in real-world applications. Gain experience in image recognition using CNNs, to tackle complex AI challenges and contribute to advancements in AI and computer vision.
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
Explore the fundamental concepts, various algorithms, and real-world applications, as well as exploration-exploitation trade-offs, Markov decision processes, dynamic programming, Monte-Carlo learning, and temporal difference learning. Advanced techniques like Q-learning, policy gradient, and Actor-Critic methods are also included. Project-driven learning ensures practical competence in implementing and deploying reinforcement learning methodologies effectively.
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 5
Apprenticeship
Session Plan Details
Engage in real world digital marketing implementation, focusing on creating cutting-edge web applications that leverages AI and harness the potential of data-driven insights. Guided by industry experts, refine skills to address intricate demands and design efficient solutions for implementing optimized, high-quality applications to meet enterprise-level business needs. The apprenticeship emphasizes soft skills like strategic thinking and project management, essential for professional growth.
What You’ll Learn
- Acquire solid foundation to architect, develop, and deploy software applications in line with industry standards and technological advancements. Also, foster essential soft skills such as teamwork, adaptability, and project management, enhancing readiness to transition seamlessly into professional roles.
Module 1
Module 2
Module 3
Module 4
Module 5
Module 1
Data Analytics
Session Plan Details
Be equipped with essential skills in data modeling and visualization using Power BI. Starting from introduction to data analytics and Power BI, followed by mastering data transformation, data modeling, and report creation. The module culminates in developing interactive dashboards. Gain practical experience, preparing them to leverage Power BI for data-driven decision-making in real-world scenarios.
What You’ll Learn
- Fundamentals of Data Analytics and Power BI
- Power BI Transformation
- Power BI Data Modelling
- Power BI Reports
- Power BI Dashboards
Module 2
Machine Learning
Session Plan Details
Learn through a comprehensive curriculum, covering fundamentals, supervised and unsupervised learning, and model performance enhancement. Gain skills in feature selection, hyperparameter tuning, and implementing machine learning pipelines. Develop and deploy models, applying their knowledge to real-world scenarios. Be equipped to tackle machine learning tasks, optimize performance, and contribute to diverse applications in the field.
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 knowledge and skills in AI, focusing on Artificial Neural Networks, CNNs, and RNNs. Optimize model performance, implement deep learning pipelines, and deploy models in real-world applications. Gain experience in image recognition using CNNs, to tackle complex AI challenges and contribute to advancements in AI and computer vision.
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
Explore the fundamental concepts, various algorithms, and real-world applications, as well as exploration-exploitation trade-offs, Markov decision processes, dynamic programming, Monte-Carlo learning, and temporal difference learning. Advanced techniques like Q-learning, policy gradient, and Actor-Critic methods are also included. Project-driven learning ensures practical competence in implementing and deploying reinforcement learning methodologies effectively.
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 5
Apprenticeship
Session Plan Details
Engage in real world digital marketing implementation, focusing on creating cutting-edge web applications that leverages AI and harness the potential of data-driven insights. Guided by industry experts, refine skills to address intricate demands and design efficient solutions for implementing optimized, high-quality applications to meet enterprise-level business needs. The apprenticeship emphasizes soft skills like strategic thinking and project management, essential for professional growth.
What You’ll Learn
- Acquire solid foundation to architect, develop, and deploy software applications in line with industry standards and technological advancements. Also, foster essential soft skills such as teamwork, adaptability, and project management, enhancing readiness to transition seamlessly into professional roles.
Education Pathway
After meeting the graduation requirements, the candidate will be awarded a top-up degree.
Pearson BTEC International Level 3 in Information Technology
Foundation Diploma
Higher Diploma in Software Engineering
Diploma
Bachelor of Technology in Software Engineering (Top Up)
Bachelor’s Degree
Certification(s)
Certification(s) Earned
- Bachelor of Technology in Software Engineering awarded by Universidad Catolica De Murcia, Spain
- Professional Scrum Master™ I Certification*
- Microsoft Power BI Data Analyst (PL 300)*
- Microsoft Certified: Azure AI Engineer Associate (AI 102)*
*Taking this certification is not mandatory. However, if the learner wishes to pursue it, they need to register for the examination after paying the necessary fees wherever it is applicable. Please note some certification is free. You can find out from the respective website about this info.
Pricing
Course Fee
USD 6,000
Payment Plan
Tuition fee is available for full payment before the start of class. For more details Contact Us.
| Bachelor of Digital Business (Top-Up) | Installment Plan | Tuition Fees |
|---|---|---|
| Month 1-17 | USD 300 /month | |
| Total | 18 installments | USD 5,400 |
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
